Part-Based Representations of Visual Shape and Implications for Visual Cognition

@article{Singh2001PartBasedRO,
  title={Part-Based Representations of Visual Shape and Implications for Visual Cognition},
  author={Manish Singh and Donald D. Hoffman},
  journal={Advances in psychology},
  year={2001},
  volume={130},
  pages={401-459}
}
Visual explanations
TLDR
This work discusses how analyzing these structures and realizing them in formal representations can allow computer graphics to engage with perceptual science, to mutual benefit.
Abstraction of 2D shapes in terms of parts
TLDR
This work develops a computational method for the abstract depiction of 2D shapes by organizing the shape into parts using a new synthesis of holistic features of the part shape, local Features of the shape boundary, and global aspects of shape organization.
What change detection tells us about the visual representation of shape.
TLDR
This study investigates how the human visual system represents the shape of objects by demonstrating a previously unknown influence on detection of changes in shape: the sign of contour curvature.
Curious Objects: How Visual Complexity Guides Attention and Engagement
TLDR
This work algorithmically generated a library of geometric shapes and determined their complexity by computing the cumulative surprisal of their internal skeletons-essentially quantifying the "amount of information" within each shape- and explored the function of complexity.
Shape Information Mediating Basic- and Subordinate-Level Object Recognition Revealed by Analyses of Eye Movements
TLDR
It is argued that both basic- and subordinate-level classification are mediated by object representations that make explicit internal part boundaries, and distinguish concave and convex regions of bounding contour.
The Role of Part Structure in the Perceptual Localization of a Shape
TLDR
Results show that the part structure of a shape plays a role in the representation of its location, and that for complex shapes the perceived location of an embedded element depends more on the parts within which it is embedded, rather than on the whole shape.
Perceived orientation of complex shape reflects graded part decomposition.
TLDR
It is suggested that Robust Statistics may provide a useful framework for quantifying the influence of part segmentation on visual estimation and a quantitative characterization of part salience in terms of part independence.
Planar shape decomposition made simple
TLDR
This work revisits the problem assuming the medial axis representation and introduces a new computational model referred to as medial axis decomposition (MAD), which is argued that this representation is both efficient and robust, at least as far as decomposition is concerned, and as long as a part hierarchy is not sought.
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The human visual process can be studied by examining the computational problems associated with deriving useful information from retinal images. In this paper, we apply this approach to the problem
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