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Human vision is extremely sensitive to equidistance of spatial intervals in the frontal plane. Thresholds for spatial equidistance have been extensively measured in bisecting tasks. Despite the vast number of studies, the informational basis for equidistance perception is unknown. There are three possible sources of information for spatial equidistance in pictures, namely, distances in the picture plane, in physical space, and visual space. For each source, equidistant intervals were computed for perspective photographs of walls and canals. Intervals appear equidistant if equidistance is defined in visual space. Equidistance was further investigated in paintings of perspective scenes. In appraisals of the perspective skill of painters, emphasis has been on accurate use of vanishing points. The current study investigated the skill of painters to depict equidistant intervals. Depicted rows of equidistant columns, tiles, tapestries, or trees were analyzed in 30 paintings and engravings. Computational analysis shows that from the middle ages until now, artists either represented equidistance in physical space or in a visual space of very limited depth. Among the painters and engravers who depict equidistance in a highly nonveridical visual space are renowned experts of linear perspective. Keywords bisection, equidistant intervals, visual space, physical space Equidistant Intervals in Pictures Human vision is extremely sensitive to equidistance of spatial intervals in the frontal plane. Thresholds for spatial equidistance have been most extensively measured in bisecting tasks (Cappe, Clarke, Mohr, & Herzog, 2014; Chieﬃ, 1999; Fechner, 1860; Garcia-Suarez, Barrett, & Pacey, 2004; Levi & Klein, 1983; Milner, Brechmann, & Pagliarini, 1992; Nielsen, Intriligator, & Barton, 1999; van Vugt, Fransen, Creten, & Paquier, 2000; Varnava, McCarthy, & Beaumont, 2002; Volkmann, 1863; Westheimer, Crist, Gorski, & Gilbert, 2001; Wilkinson & Halligan, 2003). Despite the vast number of studies in normal subjects and patients, the neural mechanism behind visual equidistance is still largely unknown. Corresponding author: Casper J. Erkelens, Helmholtz Institute, Utrecht University, Padualaan 8, 3584 CH Utrecht, The Netherlands. Email: email@example.com Creative Commons CC-BY: This article is distributed under the terms of the Creative Commons Attribution 3.0 License (http://www.creativecommons.org/licenses/by/3.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sage- pub.com/en-us/nam/open-access-at-sage). 2 i-Perception 0(0) Until now, research concentrated on bisection in the frontal plane. Little is known about the sensitivity of human vision to equidistance in depth. Even the spatial information employed still awaits discovery. Information may come from one of three possible sources. Figure 1 shows predictions for bisection of a spatial interval in a picture. Bisection may be related to the proximal (Figure 1(a)), distal (Figure 1(b)), or perceived (Figure 1(c)) stimulus. The image in the picture plane is taken to be equivalent with the proximal image. If information is extracted from the proximal stimulus, b will bisect interval ac if ab equals bc (Figure 1(a)). This type of bisection will be called proximal bisection. If bisection is related to the layout of the distal stimulus, p, that is, the projection of bisection point P of the physical interval AC onto the picture plane will generally not bisect interval ac (Figure 1(b)). The position of p is closer to c than a, if A is nearer to the observer than C. Lines parallel to AC meet at the inﬁnitely far vanishing point VP. This type of bisection in a picture is dubbed bisection in physical space. A third option is that bisection is related to the layout of the stimulus in visual space (Figure 1(c)). Many studies have shown that visual space, that is, the space we perceive through vision, diﬀers from physical space. A recent reanalysis of classic experimental results unveiled that physical space and visual space and also the proximal image are perspective transformations of each other (Erkelens, 2015a). The spaces diﬀer by just a single parameter, namely, the distance of vanishing points. The distance is inﬁnite for physical space, ﬁnite for visual space, and zero for the proximal image. The new model is simpler and more powerful than the model of a curved visual space championed by Luneburg (1947, 1950) and Blank Figure 1. Bisection of a spatial interval in a picture in side views. Observer O views a picture (vertical gray line) that contains the proximal stimulus. (a) Bisection in the picture plane. The yellow dot b bisects interval ac if ab ¼ bc. (b) Bisection in physical space. A, C, and VP are distal stimuli for a, c, and the vanishing point vp in the picture, respectively. AC is parallel to the line connecting O and the infinitely far VP. P bisects interval AC. The cyan dot p is the proximal stimulus of P. (c) Bisection in visual space. A, C, and VP are perceived at 0 0 0 0 0 0 A ,C , and VP, respectively. VP is located at a finite distance. V bisects A C . The magenta dot v is the proximal stimulus of V. Erkelens 3 (1953, 1961) because it describes more experimental data. In Figure 1(c), line piece AC in 0 0 physical space transforms to line piece A C in visual space. Lines parallel to AC in physical space converge in visual space to vanishing point VP , located at ﬁnite distance from the 0 0 observer. V bisects A C in visual space. Point v is the projection of V onto the picture plane. The position of v diﬀers from that of b (Figure 1(a)) and p (Figure 1(b)). Point v is located in between b and p at a position that depends on the distance of vanishing point VP.In principle, human observers have access to each of the three sources of information. Proximal intervals are directly available from the retinal image. Most assessments of spatial intervals, however, are made across ﬁxations and, hence, require a spatiotopic map of saccade locations in addition to the retinal image. Intervals in physical space follow from knowledge based on interactions of the observer with the physical environment. Intervals in visual space are available from quantitative probes of visual perception. To explore equidistance in perspective pictures, bisection locations were computed for spatial intervals in photographs of a wall and a canal (Figure 2). Pairs of parallel white lines represent spatial interval ac shown in Figure 1. Positions of the three bisection points were computed by solving the geometric equations that describe bisection according to the diﬀerent sources of information. Measurement of the horizontal (wall) or vertical (canal) positions of the white lines in the photographs provided the positions of a and c. Positions of the vanishing point projections (vp) were obtained by measuring the positions of intersections of perspective lines in the pictures. The equations for bisection in the physical and visual 0 0 spaces were solvable for known intersection positions between extensions of AC and A C and the screen. A position at one screen size outside of the screen border was chosen as the position of intersection. Proximal bisection positions were directly computed from the positions of a and c on the screen. Veridicality of computed bisection positions in physical space was veriﬁed by counting the segments of the concrete wall and the trees along the canal in the picture. The positions of bisection in visual space were computed by further assuming that the vanishing point VP was located at twice the viewing distance of the photographs. It requires a ruler to convince oneself that the yellow dots bisect the intervals between the parallel white lines in the photographs (Figure 2). The necessity of having to rely on a ruler Figure 2. Computed bisection positions in photographs of perspective scenes. (a) Bisections along a vertical surface. The yellow dot bisects the interval between the parallel white lines in the picture. The cyan dot bisects the interval in physical space, the magenta dot in visual space. The end of visual space is assumed to be at twice the viewing distance. (b) Similar bisections along a horizontal surface. Converging white lines are perspective lines meeting at vanishing points. 4 i-Perception 0(0) suggests that equidistance judgments are not based on measures of the proximal stimulus. This suggestion is in line with earlier bisection results of Blank (1961) and a recent study showing that the detection of two-dimensional symmetry patterns is subject to the three- dimensional (3D) conﬁguration of scenes (Chen & Shio, 2015). Acceptance of the cyan dots as indicators of bisection in physical space is based on cognition rather than visual perception. As mentioned earlier, counting trees and wall segments was needed to make educated guesses about bisection in physical space. Visually the cyan dots appear much too close to the distant lines. The magenta dots seem better candidates for visual bisection. Computed positions of the magenta dots depend on the assumed distance of vanishing point. Due to individual diﬀerences between computed depths of visual space (Erkelens, 2015b), the magenta dots may represent suboptimal positions for bisection to individual observers. Picture Positions of Equidistant Positions in Physical Space To quantify the eﬀect of the selected intersection positions between stimulus and screen on bisection positions in the picture, bisection positions were computed for a range of intersection positions. Bisection in physical space proved to be independent of the chosen intersection position. If a, c, and vp have ﬁxed positions on the screen then all possible intervals AC in physical space are parallel to each other (Figure 1(b)). Inspection of Figures 1(b) and 3(a) shows that parallel displacement of AC does not aﬀect the position of p because all triangles OAC are similar. On the other hand, bisection in visual space does 0 0 depend on the position of the intersection point. Potential intervals A C rotate relative to each other about the ﬁnite vanishing point and consequently the position of v changes with 0 0 the orientation of A C . Bisection in physical space proved also to be independent of the position of the observer relative to the picture. Computations of p showed that if a, c, and vp were kept at ﬁxed positions, the position of p remained ﬁxed for all directions of O relative to the picture (Figure 3(b)). Computations of p also showed that the position of p remained ﬁxed for all viewing distances (Figure 3(c)). As a result, the position of p in the picture is independent of distance and direction of the observer relative to the picture. The position of p is fully speciﬁed by the positions of a, c, and vp and thus only by aspects of the picture itself. Proximal bisection and bisection in physical space share this property. The method for establishing bisection positions in pictures can be generalized to equidistant positions for any number of intervals. Computations were made for larger numbers of equidistant intervals. Figure 4(a) shows the geometry for a row of four equidistant intervals in physical space. Positions of the proximal stimuli p depend only on the positions of a, c, and vp. Figure 4(b) shows the positions of p as functions of the position of c relative to the positions of a and vp. Similar as for bisection, the positions of a, c, and vp in the picture uniquely specify the division in intervals. Geometric analysis shows that, what may seem counterintuitive, knowledge of the distal stimulus in physical space is irrelevant for the division of a line piece in equidistant intervals in a picture. Equidistant Intervals in Perspective Photographs To compare equidistance in the various spaces, equidistant intervals were computed for the perspective photographs of wall and canal that were earlier shown in Figure 2. Figure 5 shows intervals that are equidistant in the picture (Figure 5(a) and (b)), in physical space (Figure 5(c) and (d)), and in visual space (Figure 5(e) and (f)). One can interpret the sizes of intervals in two ways. One can interpret their sizes in terms of distances in depth along the underlying surface or compare their sizes relative to each other in terms of viewing angles. Erkelens 5 Figure 3. Independence of bisection in physical space for stimulus distance and viewing position. Points a, c, and vp have fixed positions in the picture (gray vertical line) identical to those shown in Figure 1(b). P bisects interval AC. p is the projection of P onto the picture plane. (a) In comparison to Figure 1(b), AC has been placed at a different distance from the screen. Different distances do not affect the position of p. (b, c) O has been placed at other positions. Different viewing directions do not affect p (b). Different viewing distances do not affect p (c). Figure 4. Equidistant intervals in physical space. Positions of a, c, and vp are identical to those shown in Figure 1(b). (a) AC is divided in four equidistant intervals. The colored dots P are associated with ¼, ½, and g of interval AC, respectively. Identically colored p’s are their proximal stimuli. (b) The three p’s are computed as functions of c relative to a and v. Colors of the lines match the colors of P in (a). 6 i-Perception 0(0) Figure 5. Equidistant intervals between five lines in perspective photographs of a wall and a canal. Intervals between yellow lines are equidistant in the picture plane (a, b). Intervals between cyan lines (c, d) are equidistant in physical space. Intervals between magenta lines (e, f) are equidistant in visual space. The vanishing point of visual space was assumed at twice the viewing distance of the pictures. Equidistant intervals in the plane of the picture (Figure 5(a) and (b)) are not perceived as equidistant according to either interpretation. Intervals that are identical in terms of visual angle but viewed at diﬀerent distances are perceived diﬀerently according to the size—distance invariance hypothesis (Epstein, 1963; Wagner, 2006). The intervals are also perceived as diﬀerent if one tries to ignore the depth of the surface. The perceived increase in line spacing with increasing surface depth even persists if a ruler is placed across the lines. Incompatibility between perceived intervals and ruler readings presents a strong visual illusion. Spatial intervals that are equidistant in physical space (Figure 5(c) and (d)) are also perceived as highly diﬀerent from each other. By reasoning, one can accept that the intervals are equidistant along the receding surfaces. However, the decrease in line spacing Erkelens 7 appears to progress irregularly with surface depth. The near intervals seem overly large, most prominent in the canal example of Figure 5(d). Sizes of intervals appear to decrease more regularly with distance if the intervals are computed in visual space (Figure 5(e) and (f)). Similar to the computed bisection intervals of Figure 2, a distance of twice the viewing distance was chosen for the vanishing point. Now the intervals appear to decrease in size rather regularly with distance. Such a decrease is in agreement with the size—distance invariance hypothesis that was mentioned earlier. The gradient in interval size appears regular and more natural when the intervals are computed in visual (Figure 5(e) and (f)) rather than physical space (Figure 5(c) and (d)). Equidistant Intervals in Perspective Paintings and Engravings To gain insight in how we perceive equidistance in pictures, it may be illuminating to investigate how painters, both amateurs and experts in linear perspective, have depicted equidistant intervals on canvas (Kemp, 1990; Kubovy, 1986). Veridical depiction of equidistant intervals in 3D scenes prescribes that painters have to follow the geometric rules of linear perspective in relation physical space. It is known that Italian painters such as Filippo Brunelleschi and Piero della Francesca already applied rules and constructions of linear perspective in the 15th century. To compare the depiction of equidistant intervals by artists across the ages, photographs of paintings and engravings were copied from the internet (see Appendix 1). Fragments were selected that contained four equidistant intervals and their associated vanishing point. An exception was made for ‘‘The Last Supper’’ and its followers because the images contained rows of only three equidistant intervals. The fragments were displayed on the computer screen so that they fully ﬁlled the screen. Coordinates of borders of intervals and vanishing points were measured in millimeters relative to the left and lower border of the screen, using a ruler. The near border of the nearest interval was designated a and the far border of the fourth (third for the Last Supper pictures) interval b (Figure 1). Intermediate interval borders were computed from the equations describing proximal equidistance, and equidistant intervals in physical and visual space, respectively. Since in visual space intervals depend on distance of the vanishing point and intersection position of the perceived surface with the screen, borders were computed for a wide range of vanishing distances and intersection positions. Combinations of vanishing distance and intersection position that produced the best ﬁts between computed and painted borders were supposed to describe the visual space that was used by the painter. Depth (D) of visual space in a picture is deﬁned as distance of the vanishing point relative to the observer minus viewing distance of the picture. Figure 6 shows fragments of three paintings and one engraving. The tiles of Vermeer’s ‘‘The Music Lesson’’ show intervals that closely match equidistant intervals in a speciﬁc visual space (Figure 6(a)). The optimal visual space has a depth larger than 100 viewing distances. It is indistinguishable from physical space within the precision of the computations. Agreement of the painted intervals with intervals in physical space shows that Vermeer accurately followed the rules of linear perspective. It has been proposed that Vermeer used a camera obscura to achieve such a photograph-like veridicality (Steadman, 2001). The other panels of Figure 6 show that such an agreement was not always found in paintings and engravings. Leonardo da Vinci painted tapestries in ‘‘The Last Supper’’ that are not equidistant in physical space although the errors are not very large (Figure 6(b)). However, there is a visual space clearly diﬀerent from physical space that describes Leonardo’s intervals much better. This visual space has a depth of 11 viewing distances. Diﬀerences between depicted and computed intervals in 8 i-Perception 0(0) Figure 6. Equidistant intervals in art. (a) Fragment of ‘‘The Music Lesson’’, painted by Johannes Vermeer. (b) Fragment of ‘‘The Last Supper’’, painted by Leonardo da Vinci. (c) Fragment of a plate engraved by Hans Vredeman de Vries. (d) Fragment of ‘‘The Interior of Henry VII’s Chapel in Westminster Abbey’’, painted by Canaletto. Added converging white lines meet at vanishing points in the paintings. Added parallel white lines indicate equidistant intervals according to the artists. Cyan dots mark equidistant intervals in physical space. Magenta dots indicate equidistant intervals in visual space, and yellow dots are equidistant in the picture. Distances of the vanishing points in visual space are given in Tables 1 and 2. relation to physical space are much larger for the engraving of a tomb by Hans Vredeman de Vries (Figure 6(c)) and the painting of Canaletto of ‘‘The Interior of Henry VII’s Chapel in Westminster Abbey’’ (Figure 6(d)). In both pictures, the best ﬁtting borders that indicate equidistant intervals in visual space (magenta dots) are about in the middle between those indicating equidistant intervals in physical space (cyan dots) and the picture plane (yellow dots). Visual space in these pictures has a depth of just two viewing distances. Depth of visual space was computed for 30 pictures. Paintings and engravings were selected in which perspective was applied with great accuracy. Paintings such as for instance ‘‘Mystery and Melancholy of a Street’’ (1914) of Giorgio de Chirico were excluded because of inaccuracy in vanishing points. Computed depths of visual spaces can be divided into two groups. In one group of 12 paintings and 2 engravings, depths are larger than 100 viewing distances (Table 1). These visual spaces are indistinguishable from physical space implying that the artists accurately applied the rules of linear perspective. In the other group of 15 paintings and 1 engraving, depths of visual spaces are shorter than 12 viewing distances (Table 2). Mean depth and standard deviation of this group is 5.2 3.2 viewing distances. From the middle ages until now, artists have painted equidistant intervals in physical space (D> 100) or visual space. Mean absolute error (MAE) and standard deviation is 1.7 1.0% for the physical space group and 1.4 1.0% for the visual space Erkelens 9 Table 1. List of Paintings and Engravings Containing Equidistant Intervals in Physical Space. Artist Title Year D MAE Fra Carnevale Annunciation 1448 >100 0.7 Piero della Francesca Madonna and Child with Saints 1472–1474 >100 1.8 Hans Vredeman de Vries Plate 27 from the Book of Perspective 1604–1605 >100 0.4 Hans Vredeman de Vries Plate 16 from the Book of Perspective 1604–1605 >100 1.4 Pieter Jansz. Saenredam Interior St. Bavo Haarlem 1631 >100 1.9 Pieter de Hooch A Woman Drinking with Two Men 1658 >100 2.8 Johannes Vermeer The Music Lesson 1662–1664 >100 0.2 Johannes Vermeer The Concert 1663–1666 >100 2.3 Gustave Caillebotte Europe Bridge 1876 >100 1.2 Carel Willink Simeon Styliticus 1939 >100 3.7 Carel Willink Wilma with a Cat 1940 >100 2.9 Richard Estes Williamsburg Bridge 2006 >100 1.0 Richard Estes Supermarket Columbus Avenue 2009 >100 1.8 William R. Beebe Columns in Capri 2010 >100 1.8 Means of 14 pictures >100 1.7 1.0% Note. MAE ¼ Mean absolute error. Computed depth (D) of visual space is expressed in viewing distances. Mean absolute error (MAE) between depicted and computed intervals is expressed as a percentage of interval lengths. Table 2. List of Paintings and Engravings Containing Equidistant Intervals in Visual Space. Artist Title Year D MAE Ambrogio Lorenzetti Annunciation 1344 4 1.4 Tommaso Masolino Banquet of Herod 1435 6 2.5 Leonardo da Vinci The Last Supper 1494–1499 11 0.5 Hans Vredeman de Vries Architectural Caprice with Figures 1568 2 1.7 Hans Vredeman de Vries Plate 16 from the book Pictures, etc. 1600 2 0.3 Dirck van Delen Perspective Fantasy of a Palace with... 1650 3 0.8 Antonio Joli Architectural Fantasy 1745 3 1.3 Giovanni Paolo Panini Interior of the Santa Maria Maggiore 1750 8 0.6 Giovanni Battista Piranesi Interior of the San Paolo fuori le Mura 1749 6 1.4 Canaletto Capriccio, A Colonnade Opening 1765 4 3.0 Canaletto Interior of Henry VII’s Chapel 1770 2 0.2 Giacomo Raffaelli The Last Supper 1816 12 0.5 Susan Dorothea White The First Supper 1988 9 0.5 Roger Shepard Terror Subterra illusion 1990 5 1.6 Primary School Arts Teacher Perspective Aquariums 2012 3 2.7 Unknown How to Draw Perspective (on YouTube) 2013 3 3.2 Means of 16 pictures 5.2 3.2 1.4 1.0% Note. MAE ¼ Mean absolute error. Computed depth (D) of visual space is expressed in viewing distances. Mean absolute error (MAE) between depicted and computed intervals is expressed as a percentage of interval lengths. group. This means that MAEs are usually just a few percent of interval lengths. Most artists applied exclusively perspective related to physical or visual space. The Dutch architect and painter Hans Vredeman de Vries (1527–1607) is here the exception. He applied the rules of linear perspective in relation to physical space with great accuracy in engravings, published in a book on perspective. On the other hand, he painted an architectural fantasy of a palace and 10 i-Perception 0(0) engraved a scene with a tomb (Figure 6(c)) in a perspective space of just two viewing distances deep. Discussion Directions and Distances in Different Perspective Spaces Recent analysis of classic experimental results provided evidence for the hypothesis that visual space is a perspective transformation of physical space (Erkelens, 2015a). Pictures as planar equivalents of proximal images are also perspective transformations of physical space. Physical space, visual space, and pictures are perspective spaces that just diﬀer by the size of a single parameter, namely, the distance of vanishing points. Distances are inﬁnite in physical space, ﬁnite in visual space, and zero in pictures. The idea of visual space as a perspective space arose from observations that perceived angles between in-depth oriented rails and bars are weighted averages between the physical angles and the angles in the proximal image (Erkelens, 2015b, 2015c). Perspective transformation of space aﬀects distances but leaves directions unchanged. Therefore, vanishing points have identical directions relative to the observer in physical space, visual space, and the proximal image (Figure 1). As a consequence, studies on the quality of linear perspective in paintings and drawings are incomplete if analysis is conﬁned to the accuracy of vanishing points. Complete studies of linear perspectives should include analysis of distances. The current study analyzed how equidistant intervals in physical and visual space relate to intervals in pictures. The computations involved relative distances along straight lines. This means that linear errors in pictures caused by stretching did not aﬀect the results. Linear errors occur for instance when changes are made in the aspect ratio of pictures. Higher order errors cause straight lines to become curved. Analysis of the vanishing points did not reveal such errors in photo’s and paintings that were downloaded from the internet. One result of the current analysis is that, if intervals in a picture indicate equidistance in physical space, they do so for all viewing positions and distances of the physical stimulus to the picture. These invariances have not been reported until now and are a remarkable aspect of linear perspective in relation to physical space. The invariances do not hold for linear perspective in relation to visual space. Since the 15th century, many artists have used construction methods to depict intervals that are equidistant in physical space along in- depth oriented lines. A consequence of the invariances is that, if such methods are used, intervals in the picture still correctly indicate equidistant intervals in physical space for viewpoints other than the one from which the picture is made. The invariance may explain why photographs and movies viewed from oblique directions are perceived as being rotated rather than deformed (Cutting, 1987; Gombrich, 1972; Goldstein, 1979; Halloran, 1993; Koenderink, van Doorn, & Kappers 2004; Kubovy, 1986; Papathomas, Kourtzi, & Welchman, 2010). Equidistant Intervals in Paintings It is remarkable how artists depict equidistant intervals in paintings and engravings. The studied intervals show that a great number of artists, intentionally or not, applied perspective in relation to visual instead of physical space. Among the painters who strongly deviated from equidistance in physical space are renowned experts of linear perspective such as Panini, Piranesi, and Canaletto (Thompson, 2003). The vanishing points in the paintings and engravings of this study show that all artists applied linear perspective with great accuracy, as far as directions are concerned. The small MAEs between depicted and computed intervals Erkelens 11 show that for distances painters applied perspective with great accuracy too. This is true for all artists in this study because, in general, MAEs were equally small for equidistance in visual and physical space. Small MAEs are remarkable for paintings showing equidistant intervals in visual space because their makers could not use tools or tricks to achieve a high degree of perfection. In contrast, artists drawing equidistant intervals in physical space could use methods such as the costruzione legittima. Such methods do not exist for equidistance in visual space. Making use of yardsticks in the plane of the picture would not have been helpful either, as the yellow dots show in Figure 6. Artists have pictured equidistant intervals either in physical or visual space from the 15th century until now. Realist painters such as Johannes Vermeer, Gustave Caillebotte, Carel Willink, Richard Estes applied perspective in relation to physical space to arrive at photograph-like veridicality. Painters such as Leonardo da Vinci, Hans Vredeman de Vries, and Dirck van Delen used perspective in relation to visual space in their fantasy paintings. The vedute painters Antonio Joli, Giovanni Panini, Giovanni Piranesi, and Canaletto applied perspective in relation to visual space both in their fantasy and realistic paintings. From visual inspection alone, it is diﬃcult to distinguish nonveridical from veridical perspective. For example, ‘‘The Last Supper’’ and the ‘‘tomb’’ of Hans Vredeman de Vries appear as realistic as ‘‘The Music Lesson’’ and the ‘‘Interior of Henry VII’s Chapel’’ (Figure 6). Computation ﬁrst shows the considerable diﬀerences. Hans Vredeman de Vries, an engineer by training, may have been aware of the distinction between both types of perspective because he applied both techniques. He purposely may have applied perspective in relation to visual space for one or two reasons. He may have found the painting more attractive or he used it because it allowed him to draw distant objects in more detail than in the case of linear perspective. Distant objects are most compressed in linear perspective, less in visual space, and not at all in physical space. The latter reason is particularly relevant for engravings where depicting details is limited by the coarseness of the needles. It is amusing to notice that perspective in relation to visual space has been applied in the ‘‘Terror Subterra’’ illusion (Shepard, 1990). It is amusing because the illusion is generally explained by the size–depth relationship of projections from physical space onto planar surfaces. Another example of erroneous projection is given by an instruction video on how to draw perspective (last item of Table 2). It shows intervals that are equidistant within an extremely conﬁned visual space. Apparently, both viewers and makers are not aware of the errors of projection. The fact that expert painters depict perspective in relation to visual space seems paradoxical. Projections of 3D scenes on ﬂat surfaces contain linear perspective. These photographic projections produce retinal images identical to those produced by the 3D scenes themselves. When using projections based on perspective in relation to visual space in the painting, one would be inclined to conclude that the ensuing visual perception of the scene would be nonveridical and nonrealistic. On the contrary, perspective related to visual space is experienced as very natural in paintings (see the examples in Figures 5 and 6). An explanation for the paradox may be that perception of 3D scenes in pictures diﬀers from perception of real scenes (Erkelens, 2015b, 2015c). To emphasize this diﬀerence, visual space in pictures is generally named pictorial space. Apparently, about half of the investigated painters used perspective in relation to visual space so that in the pictures the depicted intervals appeared consistent with other attributes of depth. Declaration of Conflicting Interests The author(s) declared no potential conﬂicts of interest with respect to the research, authorship, and/or publication of this article. 12 i-Perception 0(0) Funding The author(s) received no ﬁnancial support for the research, authorship, and/or publication of this article. References Blank, A. A. (1953). The Luneburg theory of binocular visual space. Journal of the Optical Society of America, 43, 717–727. Blank, A. A. (1961). Curvature of binocular visual space. An experiment. Journal of the Optical Society of America, 51, 335–339. Cappe, C., Clarke, A., Mohr, C., & Herzog, M. H. (2014). Is there a common factor for vision? Journal of Vision, 14, 1–11. Chen, C.-C., & Sio, L.-T. (2015). 3D surface conﬁguration modulates 2D symmetry detection. Vision Research, 107, 86–93. Chieﬃ, S. (1999). Inﬂuence of perceptual factors on line bisection. Cortex, 35, 523–536. Cutting, J. E. (1987). Rigidity in cinema seen from the front row, side aisle. Journal of Experimental Psychology: Human Perception and Performance, 13, 323–334. Epstein, W. (1963). Attitudes of judgment and the size-distance invariance hypothesis. Journal of Experimental Psychology, 66, 78–83. Erkelens, C. J. (2015a). The perspective structure of visual space. i-Perception, 6, 1–13. Erkelens, C. J. (2015b). The extent of visual space inferred from perspective angles. i-Perception, 6, 5–14. Erkelens, C. J. (2015c). Perception of perspective angles. i-Perception, 6, 1–11. Fechner, G. T. (1860). Elemente der Psychophysik [Elements of psychophysics] (Vol. 1). Leipzig, Germany: Breitkopf & Ha¨ rtel. Garcia-Suarez, L., Barrett, B. T., & Pacey, I. (2004). A comparison of the eﬀects of ageing upon Vernier and bisection acuity. Vision Research, 44, 1039–1045. Goldstein, E. B. (1979). Rotation of objects in pictures viewed at an angle. Journal of Experimental Psychology: Human Perception and Performance, 5, 78–87. Gombrich, E. (1972). The visual image. Scientiﬁc American, 227, 82–96. Halloran, T. O. (1993). The frame turns also: Factors in diﬀerential rotation in pictures. Perception & Psychophysics, 54, 496–508. Kemp, M. J. (1990). The science of art: Optical themes in Western art from Brunelleschi to Seurat. New Haven, CT: Yale University Press. Koenderink, J. J., van Doorn, A. J., & Kappers, A. M. L. (2004). Pointing out of the picture. Perception, 33, 513–530. Kubovy, M. (1986). The psychology of perspective and renaissance art. Cambridge, England: Cambridge University Press. Levi, D. M., & Klein, S. A. (1983). Spatial localization in normal and amblyopic vision. Vision Research, 23, 1005–1017. Luneburg, R. K. (1947). Mathematical analysis of binocular vision. Princeton, NJ: Princeton University Press. Luneburg, R. K. (1950). The metric of binocular visual space. Journal of Optical Society of America, 50, 637–642. Milner, A. D., Brechmann, M., & Pagliarini, L. (1992). To halve and to halve not: An analysis of line bisection judgments in normal subjects. Neuropsychologia, 30, 515–526. Nielsen, K. E., Intriligator, J., & Barton, J. J. S. (1999). Spatial representation in the normal visual ﬁeld: A study of hemiﬁeld line bisection. Neuropsychologia, 37, 267–277. Papathomas, T. V., Kourtzi, Z., & Welchman, A. E. (2010). Perspective-based illusory movement in a ﬂat billboard – an explanation. Perception, 39, 1086–1093. Shepard, R. N. (1990). Mind sights: Original visual illusions, ambiguities, and other anomalies. New York, NY: W. H. Freeman and Company. Erkelens 13 Steadman, P. (2001). Vermeer’s camera: Uncovering the truth behind the masterpieces. Oxford, England: Oxford University Press. Thompson, W. (2003). ‘‘Giovanni Battista Piranesi (1720–1778)’’. In Heilbrunn timeline of art history. New York, NY: The Metropolitan Museum of Art. Retrieved from http://www.metmuseum.org/ toah/hd/pira/hd_pira.htm van Vugt, P., Fransen, I., Creten, W., & Paquier, P. (2000). Line bisection performances of 650 normal children. Neuropsychologia, 38, 886–895. Varnava, A., McCarthy, M., & Beaumont, J. G. (2002). Line bisection in normal adults: Direction of attentional bias for near and far space. Neuropsychologia, 40, 1372–1378. Volkmann, A. W. (1863). Physiologische Untersuchungen im Gebiete der Optik [Physiological studies in the ﬁeld of optics]. Leipzig, Germany: Breitkopf & Ha¨ rtel. Wagner, M. (2006). The geometries of visual space. Mahwah, NJ: Lawrence Erlbaum Associates. Westheimer, G., Crist, R. E., Gorski, L., & Gilbert, C. D. (2001). Conﬁguration speciﬁcity in bisection acuity. Vision Research, 41, 1133–1138. Wilkinson, D., & Halligan, P. (2003). The eﬀects of stimulus size on bisection judgements in near and far space. Visual Cognition, 10, 319–340. Author Biography Casper J. Erkelens, earned a degree in physics from Radboud University at Nijmegen and his PhD from Utrecht University. He commenced his eye movement research with Han Collewijn at Erasmus University Rotterdam. His academic career continued at the Physics and Psychology departments of Utrecht University. Initially, research was devoted to describing and understanding binocular eye movements. Later, his interest progressively expanded to the processes underlying binocular vision and their relationship to eye movements. Currently, he works on conﬂicts between binocular and monocular vision that may arise when 3-D scenes are imaged on 2-D media such as paper, canvas and the various kinds of (projection) screens. After his compulsory retirement in 2015, the dean of the faculty of Social Sciences of Utrecht University granted facilities enabling him to continue research. Appendix 1 URLs of the Pictures of Table 1 Fra Carnevale, http://www.wga.hu/index1.html Piero della Francesca, http://www.wga.hu/index1.html Hans Vredeman de Vries, www.relewis.com/devries-perspective_link.html Hans Vredeman de Vries, https://ojs.st-andrews.ac.uk/index.php/nsr/article/download/ 748/921 Pieter Jansz. Saenredam, https://commons.wikimedia.org/wiki/File:Pieter_Jansz._ Saenredam,_Dutch_(active_Haarlem_and_Utrecht)_-_Interior_of_Saint_Bavo,_ Haarlem_-_Google_Art_Project.jpg Pieter de Hooch, https://en.wikipedia.org/wiki/A_Woman_Drinking_with_Two_Men#/ media/File:Pieter_de_Hooch_-_A_Woman_Drinking_with_Two_Men_-_WGA11694.jpg 14 i-Perception 0(0) Johannes Vermeer, https://en.wikipedia.org/wiki/The_Music_Lesson#/media/File:Jan_ Vermeer_van_Delft_014.jpg Johannes Vermeer, https://upload.wikimedia.org/wikipedia/commons/c/c8/Vermeer_The_ concert.JPG Gustave Caillebotte, https://upload.wikimedia.org/wikipedia/commons/0/00/Caillebotte- PontdeL%27Europe-Geneva.jpg Carel Willink, http://cultured.com/images/image_ﬁles/2864/3597_o_simeon_styliticus.jpg Carel Willink, http://www.wikiart.org/en/carel-willink/wilma-with-a-cat-1940 Richard Estes, http://www.phaidon.com/resource/estes-099.jpg Richard Estes, http://www.artnet.com/usernet/awc/awc_workdetail.asp?aid¼139829&gid¼ 139829&cid¼17191&wid¼425966615&page¼3 William R. Beebe, http://www.williamrbeebe.com/european-landscapes/columns-in-capri URLs of the Pictures of Table 2 Ambrogio Lorenzetti, https://en.wikipedia.org/wiki/Annunciation_(Ambrogio_Lorenzetti) Tommaso Masolino, https://upload.wikimedia.org/wikipedia/commons/3/34/Masolino_-_ Banquet_of_Herod_-_WGA14245.jpg Leonardo da Vinci, https://upload.wikimedia.org/wikipedia/commons/4/4b/%C3% 9Altima_Cena_-_Da_Vinci_5.jpg Hans Vredeman de Vries, http://digi.ub.uni-heidelberg.de/diglit/vries1620/0016 Hans Vredeman de Vries, https://upload.wikimedia.org/wikipedia/commons/f/f0/Hans_ Vredeman_de_Vries_-_Architectural_Caprice_with_Figures_-_Google_Art_Project.jpg Dirck van Delen, http://artuk.org/discover/artworks/perspective-fantasy-of-a-palace-with- elegant-ﬁgures-99902 Antonio Joli, http://www.artchive.com/web_gallery/A/Antonio-Joli/Architectural-Fantasy. html Giovanni Paolo Panini, http://www.wga.hu/html_m/p/pannini/ Giovanni Battista Piranesi, https://commons.wikimedia.org/wiki/File:Giovanni_Battista_ Piranesi,_St._Paolo_fuori_le_Mura_Interior.png Canaletto, http://www.histoiredelart.net/core/class/getimage.php?img¼artiste/777/ 1352287367.jpg Canaletto, http://www.sothebys.com/en/auctions/ecatalogue/2016/master-paintings-evening- sale-n09460/lot.59.html Giacomo Raﬀaelli, http://vopblog.com/wp-content/uploads/2015/10/ThinkstockPhotos- 160585076.jpg Susan Dorothea White, http://www.susandwhite.com.au/enlarge.php?workID¼94 Roger Shepard, http://www.anopticalillusion.com/2015/09/terror-subterra-by-roger- shepard/ Primary School Arts Teacher, http://www.onceuponanartroom.com/2012_03_01_archive. html Unknown, https://www.youtube.com/watch?v¼phWtQ2odZh0
i-Perception – SAGE
Published: Aug 17, 2016
Keywords: bisection; equidistant intervals; visual space; physical space
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