Journal ArticleDOI
The role of occlusion in the perception of depth, lightness, and opacity.
TLDR
A theory is presented that explains how the visual system infers the lightness, opacity, and depth of surfaces from stereoscopic images and suggests that a global transmittance anchoring principle expresses how variations in contrast magnitudes are used to infer the presence of transparent surfaces.Abstract:
A theory is presented that explains how the visual system infers the lightness, opacity, and depth of surfaces from stereoscopic images. It is shown that the polarity and magnitude of image contrast play distinct roles in surface perception, which can be captured by 2 principles of perceptual inference. First, a contrast depth asymmetry principle articulates how the visual system computes the ordinal depth and lightness relationships from the polarity of local, binocularly matched image contrast. Second, a global transmittance anchoring principle expresses how variations in contrast magnitudes are used to infer the presence of transparent surfaces. It is argued that these principles provide a unified explanation of how the visual system computes the 3-D surface structure of opaque and transparent surfaces.read more
Citations
More filters
Journal ArticleDOI
Visual perception of materials and their properties.
TL;DR: A general theory of material perception is suggested, in which it is suggested that the visual system does not actually estimate physical parameters of materials and objects, but the brain is remarkably adept at building 'statistical generative models' that capture the natural degrees of variation in appearance between samples.
Journal ArticleDOI
Image statistics do not explain the perception of gloss and lightness.
Barton L. Anderson,Juno Kim +1 more
TL;DR: It is argued that the derivation of surface and material properties requires a photo-geometric analysis, and that purely photometric statistics such as skew fail to capture any diagnostic information about surfaces because they are devoid of the structural information needed to distinguish different types of surface attributes.
Journal ArticleDOI
Low-Level Image Cues in the Perception of Translucent Materials
TL;DR: It is argued that the physics of translucency are too complex for the visual system to estimate intrinsic physical parameters by inverse optics, and it is suggested that translucent materials are identified by parsing them into key regions and by gathering image statistics from these regions.
Journal ArticleDOI
Image segmentation and lightness perception
TL;DR: New lightness illusions are presented that unequivocally demonstrate the effect that layered image representations can have in lightness perception and indicate that mechanisms involved in decomposing images into layered representations can play a decisive role in the perception of surface lightness.
Journal ArticleDOI
Perceiving light versus material.
TL;DR: This review explores the cues, or regularities in the visual world that evidence suggests vision exploits to discriminate light from material, and proposes a set of heuristics that may guide vision in the task of distinguishing between light and material.
References
More filters
Journal ArticleDOI
Lightness and Retinex Theory
Edwin H Land,John J. McCann +1 more
TL;DR: The mathematics of a lightness scheme that generates lightness numbers, the biologic correlate of reflectance, independent of the flux from objects is described.
Book
Foundations of Cyclopean Perception
TL;DR: Foundations of Cyclopean Perception as mentioned in this paper is a classic work on cyclopean perception that has influenced a generation of vision researchers, cognitive scientists, and neuroscientists and has inspired artists, designers, and computer graphics pioneers.
Journal ArticleDOI
A Computational Theory of Human Stereo Vision
David Marr,Tomaso Poggio +1 more
TL;DR: In this paper, an algorithm for solving the stereoscopic matching problem is proposed, which consists of five steps: (1) each image is filtered at different orientations with bar masks of four sizes that increase with eccentricity.
Journal ArticleDOI
Cooperative Computation of Stereo Disparity
David Marr,Tomaso Poggio +1 more
TL;DR: It is shown that this algorithm successfully extracts information from random-dot stereograms, and its implications for the psychophysics and neurophysiology of the visual system are briefly discussed.
Journal ArticleDOI
Binocular depth perception of computer-generated patterns
TL;DR: In this paper, the problem of finding binocular parallax matching patterns of the left and right visual fields was investigated using stereo image pairs generated on a digital computer, and it was shown that pattern-matching can be achieved by first combining the two fields and then searching for patterns in the fused field.