Seeing Motion in depth

Howard, Ian P.; Rogers, Brian

doi:10.1093/acprof:oso/9780195367607.003.0015

Cited by 54 publications

(107 citation statements)

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“…The effect is interpreted as reflecting the combination of disparity information with familiarity and other cues to depth (Hartung et al 2005), or the operation of Emmert's law (Kroliczak et al, in press). If it results from misperceived distance of the illusion, the flattening may also reflect the fact that size scales with 1ad whereas disparity scales as 1ad 2 , a fact well-known to cause illusory flattening (for review, see Howard and Rogers 2002). The effect of the relative depth of the illusion is considered in experiment 6.…”

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confidence: 99%

The Hollow-Face Illusion: Object-Specific Knowledge, General Assumptions or Properties of the Stimulus?

Hill¹,

Johnston

2007

Perception

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The hollow-face illusion, in which a mask appears as a convex face, is a powerful example of binocular depth inversion occurring with a real object under a wide range of viewing conditions. Explanations of the illusion are reviewed and six experiments reported. In experiment 1 the detrimental effect of figural inversion, evidence for the importance of familiarity, was found for other oriented objects. The inversion effect held for masks lit from the side (experiment 2). The illusion was stronger for a mask rotated by 908 lit from its forehead than from its chin, suggesting that familiar patterns of shading enhance the illusion (experiment 2). There were no effects of light source visibility or any left/right asymmetry (experiment 3). In experiments 4 – 6 we used a ‘virtual’ hollow face, with illusion strength quantified by the proportion of noise texture needed to eliminate the illusion. Adding characteristic surface colour enhanced the illusion, consistent with the familiar face pigmentation outweighing additional bottom - up cues (experiment 4). There was no difference between perspective and orthographic projection. Photographic negation reduced, but did not eliminate, the illusion, suggesting shading is important but not essential (experiment 5). Absolute depth was not critical, although a shallower mask was given less extreme convexity ratings (experiment 6). We argue that the illusion arises owing to a convexity preference when the raw data have ambiguous interpretations. However, using a familiar object with typical orientation, shading, and pigmentation greatly enhances the effect.

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confidence: 99%

The Hollow-Face Illusion: Object-Specific Knowledge, General Assumptions or Properties of the Stimulus?

Hill¹,

Johnston

2007

Perception

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“…are not available. A directional light source from left-above of the scene is assumed in accordance with the human visual system's assumptions ( [21], section 24.4.2).…”

Section: Preprocessingmentioning

confidence: 99%

A perceptual quality metric for dynamic triangle meshes

Yıldız

Çapın

2017

J Image Video Proc.

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A measure for assessing the quality of a 3D mesh is necessary in order to determine whether an operation on the mesh, such as watermarking or compression, affects the perceived quality. The studies on this field are limited when compared to the studies for 2D. In this work, we aim a full-reference perceptual quality metric for animated meshes to predict the visibility of local distortions on the mesh surface. The proposed visual quality metric is independent of connectivity and material attributes. Thus, it is not associated to a specific application and can be used for evaluating the effect of an arbitrary mesh processing method. We use a bottom-up approach incorporating both the spatial and temporal sensitivity of the human visual system. In this approach, the mesh sequences go through a pipeline which models the contrast sensitivity and channel decomposition mechanisms of the HVS. As the output of the method, a 3D probability map representing the visibility of distortions is generated. We have validated our method by a formal user experiment and obtained a promising correlation between the user responses and the proposed metric. Finally, we provide a dataset consisting of subjective user evaluation of the quality of public animation datasets.

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“…The positional differences of an object's projections on an observer's left and right retinas, or their binocular disparity, is a strong cue for perceiving sufficiently near depths 1,2 . For distant objects, monocular cues, such as T-junctions, may be used to determine relative depth when a nearer object occludes part of a farther object, and the visible parts of an occluded object are often perceptually linked together behind the occluder (Figures 1b,c,e,f) 2 . How does the visual cortex generate such percepts, and what are the perceptual units that are used to do so?…”

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confidence: 99%

“…Most previous stereopsis models [3][4][5][6][7][8][9][10] analysed how left and right eye contours are matched a f e b c d (the correspondence problem) 2,3 , but not how matching leads to 3D perceptual groupings that support conscious percepts of surface lightness and color. Here, three types of 3D surface percepts that can be generated by RDS are explained and simulated in order to illuminate crucial brain processes of 3D visual perception.…”

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confidence: 99%