Can Illusory Figures Be Transparent and Opaque at the Same Time?

Perception ◽  
1997 ◽  
Vol 26 (1_suppl) ◽  
pp. 321-321
Author(s):  
F Purghé

A simple and convincing way of explaining illusory figures is based upon the idea that the visual system would infer the presence of an occluding object when the inducing pattern shows features, such as indentations or interruptions, that can be logically explained as due to an occlusion. This kind of explanation implies (a) that an illusory figure should be prevented from occurring if there is no logical need for it, and (b) that the illusory figure must be opaque to be effective as an occluding object. It can be shown, however, that illusory figures can emerge even when there is contrary evidence to occlusion. A special kind of stereoscopic Kanizsa-like pattern superimposed onto a picture (an Escher engraving) is capable of inducing clear illusory figures (two rectangles). In this pattern, the illusory figures seem to be transparent with respect to the picture on the background, which remains fully visible through them, but act as opaque surfaces with respect to the inducers. The inducers are parts of a Necker cube which can be clearly seen only when its fragments induce the illusory rectangles, but disappears if the same fragments, being only outlined, are not able to induce them. If this outcome can be regarded as a demonstration that the Necker cube can be seen as an amodally completed object only when it virtually completes itself ‘behind’ the illusory rectangles, one would have to conclude that the same illusory surfaces can be transparent and opaque at the same time. This paradoxical result seems to challenge any interpretation of illusory figures as being due to an intelligent solution to a cognitive problem.

Perception ◽  
1995 ◽  
Vol 24 (8) ◽  
pp. 905-918 ◽  
Author(s):  
Franco Purghé

It has been claimed that an illusory figure is prevented from occurring when there is contrary evidence to occlusion, eg when the inducers are pictorial representations of ‘complete’ three-dimensional (3-D) objects. However, it was recently shown that illusory figures may also be induced by such pictorially 3-D inducers. Here, further evidence on this point is presented. Two experiments were carried out. The first was aimed at showing that an illusory figure can be induced even by stereoscopically 3-D ‘complete’ inducers; the second was aimed at checking whether inducers that are stereoscopically seen as closer than the induced figure can contribute to strengthen the illusion. The results show that stereoscopically 3-D inducing patterns can affect the illusion both in the absence of any occlusion cue and when there is contrary evidence to occlusion. These conclusions seriously challenge all the interpretations that regard occlusion, or interposition, cues as necessary for the formation of illusory figures.


Perception ◽  
1993 ◽  
Vol 22 (9) ◽  
pp. 1093-1097
Author(s):  
Theodore E Parks

A display in which a Kanizsa-like illusory-figure pattern of three notched circles was accompanied by several other notched circles was found to be relatively ineffective, thus confirming an important, but previously untested, suggestion. This ineffectiveness may have been due to a strengthened tendency of the visual system perceptually to ‘explain’ each edge of each of the three critical notches as belonging to one of the partial circles themselves, thus tending to preclude any other (ie illusory) ‘explanation’ of those edges.


Perception ◽  
10.1068/p5987 ◽  
2008 ◽  
Vol 37 (10) ◽  
pp. 1471-1487 ◽  
Author(s):  
Robert Shapley ◽  
Marianne Maertens

There is a distinct visual process that triggers the perception of illusory surfaces and contours along the intersections of aligned, zigzag line patterns. Such illusory contours and surfaces are qualitatively different from illusory contours of the Kanizsa type. The illusory contours and surfaces in this case are not the product of occlusion and do not imply occlusion of one surface by another. Rather, the aligned angles in the patterns are combined by the visual system into the perception of a fold or a 3-D corner, as of stairs on a staircase or a wall ending on a floor. The depth impression is ambiguous and reversible like the Necker cube. Such patterns were used by American Indian artists of the Akimel O'odham (Pima) tribe in basketry, and also by modern European and American artists like Josef Albers, Bridget Riley, Victor Vasarely, and Frank Stella. Our research aims to find out what manipulations of the visual image affect perceived depth in such patterns in order to learn about the perceptual mechanisms. Using paired comparisons, we find that human observers perceive depth in such patterns if, and only if, lines in adjacent regions of the patterns join to form angles, and also if, and only if, the angles are aligned precisely to be consistent with a fold or 3-D corner. The amount of perceived depth is graded, depending on the steepness and the density of angles in the aligned-angle pattern. The required precision of the alignment implies that early retinotopic visual cortical areas may be involved in this perceptual behavior, but the linkage of form with perceived depth suggests involvement of higher cortical areas as well.


Symmetry ◽  
2019 ◽  
Vol 11 (6) ◽  
pp. 799 ◽  
Author(s):  
Ian Stewart ◽  
Martin Golubitsky

Multistable illusions occur when the visual system interprets the same image in two different ways. We model illusions using dynamic systems based on Wilson networks, which detect combinations of levels of attributes of the image. In most examples presented here, the network has symmetry, which is vital to the analysis of the dynamics. We assume that the visual system has previously learned that certain combinations are geometrically consistent or inconsistent, and model this knowledge by adding suitable excitatory and inhibitory connections between attribute levels. We first discuss 4-node networks for the Necker cube and the rabbit/duck illusion. The main results analyze a more elaborate model for the Necker cube, a 16-node Wilson network whose nodes represent alternative orientations of specific segments of the image. Symmetric Hopf bifurcation is used to show that a small list of natural local geometric consistency conditions leads to alternation between two global percepts: cubes in two different orientations. The model also predicts brief transitional states in which the percept involves impossible rectangles analogous to the Penrose triangle. A tristable illusion generalizing the Necker cube is modelled in a similar manner.


Perception ◽  
10.1068/p5245 ◽  
2005 ◽  
Vol 34 (7) ◽  
pp. 803-822 ◽  
Author(s):  
Ryota Kanai ◽  
Farshad Moradi ◽  
Shinsuke Shimojo ◽  
Frans A J Verstraten

When our visual system is confronted with ambiguous stimuli, the perceptual interpretation spontaneously alternates between the competing incompatible interpretations. The timing of such perceptual alternations is highly stochastic and the underlying neural mechanisms are poorly understood. We show that perceptual alternations can be triggered by a transient stimulus presented nearby. The induction was tested for four types of bistable stimuli: structure-from-motion, binocular rivalry, Necker cube, and ambiguous apparent motion. While underlying mechanisms may vary among them, a transient flash induced time-locked perceptual alternations in all cases. The effect showed a dependence on the adaptation to the dominant percept prior to the presentation of a flash. These perceptual alternations show many similarities to perceptual disappearances induced by transient stimuli (Kanai and Kamitani, 2003 Journal of Cognitive Neuroscience15 664–672; Moradi and Shimojo, 2004 Vision Research44 449–460). Mechanisms linking these two transient-induced phenomena are discussed.


2020 ◽  
Author(s):  
Samson Chengetanai ◽  
Adhil Bhagwandin ◽  
Mads F. Bertelsen ◽  
Therese Hård ◽  
Patrick R. Hof ◽  
...  

Author(s):  
Klaus-Ruediger Peters

Differential hysteresis processing is a new image processing technology that provides a tool for the display of image data information at any level of differential contrast resolution. This includes the maximum contrast resolution of the acquisition system which may be 1,000-times higher than that of the visual system (16 bit versus 6 bit). All microscopes acquire high precision contrasts at a level of <0.01-25% of the acquisition range in 16-bit - 8-bit data, but these contrasts are mostly invisible or only partially visible even in conventionally enhanced images. The processing principle of the differential hysteresis tool is based on hysteresis properties of intensity variations within an image.Differential hysteresis image processing moves a cursor of selected intensity range (hysteresis range) along lines through the image data reading each successive pixel intensity. The midpoint of the cursor provides the output data. If the intensity value of the following pixel falls outside of the actual cursor endpoint values, then the cursor follows the data either with its top or with its bottom, but if the pixels' intensity value falls within the cursor range, then the cursor maintains its intensity value.


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