Tilt dependency of slant aftereffect

Seyama, Jun'ichiro; Takeuchi, Tatsuto; Satô, Takao

doi:10.1016/s0042-6989(99)00180-7

Cited by 5 publications

(2 citation statements)

References 41 publications

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“…In contrast the EXP solution can not be recovered in this way since it requires non-independent processing of slant and tilt. Consequently, unlike the EXP solution, use of a MAP solution is not consistent with the findings of Seyama et al (2000). In this study, the authors tested whether adapting to slanted surfaces depended on the tilt difference between the adapting and test surfaces.…”

Section: Map Vs Exp Decision Rulementioning

confidence: 96%

Recovery of surface pose from texture orientation statistics under perspective projection

Warren

Mamassian

2010

Biol Cybern

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In a seminal paper, Witkin (1981) derived a model of surface slant and tilt recovery based on the statistics of the orientations of texture elements (texels) on a planar surface. This model made use of basic mathematical properties of probability distributions to formulate a posterior distribution on slant and tilt given a set of image orientations under orthographic projection. One problem with the Witkin model was that it produced a posterior distribution with multiple maxima, reflecting the inherent ambiguity in scene reconstruction under orthographic projection. In the present article, we extend Witkin's method to incorporate the effects of perspective projection. An identical approach is used to that of Witkin; however, the model now reflects the effects of perspective projection on texel orientation. Performance of the new model is compared against that of Witkin's model in a basic surface pose recovery task using both a maximum a posteriori (MAP) decision rule and a rule based on the expected value of the posterior distribution. The resultant posterior of the new model is shown to have only one maximum and thereby the ambiguity in scene interpretation is resolved. Furthermore, the model performs better than Witkin's model using both MAP and expected value decision rules. The results are discussed in the context of human slant estimation. Electronic supplementary materialThe online version of this article

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Section: Map Vs Exp Decision Rulementioning

confidence: 96%

Recovery of surface pose from texture orientation statistics under perspective projection

Warren

Mamassian

2010

Biol Cybern

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“…This bipole grouping theory has a natural extension to grouping by cells that are sensitive to 3D surface orientation, which becomes an increasingly important cue when processing surfaces that are tilted or curved in 3D. Indeed, disparity gradient cells (DeAngelis, 2000; Hinkle and Connor, 2002;Janssen et al, 2000b;Lee, 1999;Nguyenkim and DeAngelis, 2003;Ryan and Gillam, 1993;Sakata et al, 1999;Seyama et al, 2000, Thomas et al, 2002 can form coherent groupings across depths. These types of cells have been used by Grossberg and Swaminathan (2004) to explain developmental, attentional and bistability data about 3D perception of slanted and curved surfaces and of 2D images.…”

Section: Comparison Of Lightshaft With Previous Sft Models and Neuropmentioning

confidence: 99%

A neural model of 3D shape-from-texture: Multiple-scale filtering, boundary grouping, and surface filling-in

2007

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A neural model is presented of how cortical areas V1, V2, and V4 interact to convert a textured 2D image into a representation of curved 3D shape. Two basic problems are solved to achieve this: (1) Patterns of spatially discrete 2D texture elements are transformed into a spatially smooth surface representation of 3D shape. (2) Changes in the statistical properties of texture elements across space induce the perceived 3D shape of this surface representation. This is achieved in the model through multiple-scale filtering of a 2D image, followed by a cooperative-competitive grouping network that coherently binds texture elements into boundary webs at the appropriate depths using a scale-to-depth map and a subsequent depth competition stage. These boundary webs then gate filling-in of surface lightness signals in order to form a smooth 3D surface percept. The model quantitatively simulates challenging psychophysical data about perception of prolate ellipsoids [Todd, J., & Akerstrom, R. (1987). Perception of three-dimensional form from patterns of optical texture. Journal of Experimental Psychology: Human Perception and Performance, 13(2), 242-255]. In particular, the model represents a high degree of 3D curvature for a certain class of images, all of whose texture elements have the same degree of optical compression, in accordance with percepts of human observers. Simulations of 3D percepts of an elliptical cylinder, a slanted plane, and a photo of a golf ball are also presented.

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A laminar cortical model for 3D perception of slanted and curved surfaces and of 2D images: development, attention, and bistability

2004

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A model of laminar visual cortical dynamics proposes how 3D boundary and surface representations arise from viewing slanted and curved 3D objects and 2D images. The 3D boundary representations emerge from non-classical receptive field interactions within intracortical and intercortical feedback circuits. Such non-classical interactions within cortical areas V1 and V2 contextually disambiguate classical receptive field responses to ambiguous visual cues using cells that are sensitive to colinear contours, angles, and disparity gradients. Remarkably, these cell types can all be explained as variants of a unified perceptual grouping circuit whose most familiar example is a 2D colinear bipole cell. Model simulations show how this circuit can develop cell selectivity to colinear contours and angles, how slanted surfaces can activate 3D boundary representations that are sensitive to angles and disparity gradients, how 3D filling-in occurs across slanted surfaces, how a 2D Necker cube image can be represented in 3D, and how bistable 3D Necker cube percepts occur. The model also explains data about slant aftereffects and 3D neon color spreading. It shows how chemical transmitters that habituate, or depress, in an activity-dependent way can help to control development and also to trigger bistable 3D percepts and slant aftereffects. Attention can influence which of these percepts is perceived by propagating selectively along object boundaries.

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Tilt dependency of slant aftereffect

Cited by 5 publications

References 41 publications

Recovery of surface pose from texture orientation statistics under perspective projection

Recovery of surface pose from texture orientation statistics under perspective projection

A neural model of 3D shape-from-texture: Multiple-scale filtering, boundary grouping, and surface filling-in

A laminar cortical model for 3D perception of slanted and curved surfaces and of 2D images: development, attention, and bistability

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