2021
DOI: 10.1167/jov.21.13.7
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From boundaries to bumps: When closed (extremal) contours are critical

Abstract: Invariants underlying shape inference are elusive: A variety of shapes can give rise to the same image, and a variety of images can be rendered from the same shape. The occluding contour is a rare exception: It has both image salience, in terms of isophotes, and surface meaning, in terms of surface normal. We relax the notion of occluding contour and, more accurately, the rim on the object that projects to it, to define closed extremal curves. This new shape descriptor is invariant over different renderings. I… Show more

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Cited by 11 publications
(11 citation statements)
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References 100 publications
(142 reference statements)
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“…For instance, humans appear to use common image features when perceiving the shape of matte and velvet objects (Wijntjes et al, 2012 ; Sawayama and Nishida, 2018 ). Some studies have attempted to devise generic models for the perceived shape of opaque objects (Fleming et al, 2004 , 2011 ; Kunsberg and Zucker, 2021 ). However, neurophysiological research further supports the view that there are generic mechanisms of 3D shape recovery in the brain.…”
Section: Discussionmentioning
confidence: 99%
“…For instance, humans appear to use common image features when perceiving the shape of matte and velvet objects (Wijntjes et al, 2012 ; Sawayama and Nishida, 2018 ). Some studies have attempted to devise generic models for the perceived shape of opaque objects (Fleming et al, 2004 , 2011 ; Kunsberg and Zucker, 2021 ). However, neurophysiological research further supports the view that there are generic mechanisms of 3D shape recovery in the brain.…”
Section: Discussionmentioning
confidence: 99%
“…This leads to a novel type of prediction: if critical contours are the basis on which shape inferences are built, what about the space between them? A number of experiments are beginning to show that this space is not of primary importance; rather it is the arrangement that matters [46,50].…”
Section: Discussionmentioning
confidence: 99%
“…The requirement is that they be Morse functions: all critical points must be non-degenerate (i.e., the Hessian at those points is non-singular) and no two critical points have the same function value. This introduction is from [50]; for additional material, see [59,26,7,58]. For a smooth Morse surface, the gradient ∇σ = (∂f /∂x, ∂f /∂y) exists at every point.…”
Section: The Morse-smale Complexmentioning
confidence: 99%
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“…This results in a cellular graph structure of local surface patches that captures the qualitative aspects of a surface, without any information about its metric structure. A particularly clear discussion of Morse theory and its application to vision can be found in Kunsberg and Zucker (in press) . They use a more advanced version of that theory called the Morse–Smale complex to identify bumps on a surface and to create a graph of its topographic features.…”
Section: The Representation Of 3d Shapementioning
confidence: 99%