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Shape Perception in Human and Computer Vision

Overview of attention for book
Cover of 'Shape Perception in Human and Computer Vision'

Table of Contents

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    Book Overview
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    Chapter 1 The Role of Mid-Level Shape Priors in Perceptual Grouping and Image Abstraction
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    Chapter 2 Symmetry Is the sine qua non of Shape
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    Chapter 3 Flux Graphs for 2D Shape Analysis
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    Chapter 4 An Integrated Bayesian Approach to Shape Representation and Perceptual Organization
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    Chapter 5 Perceptual Organization of Shape
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    Chapter 6 Two-Dimensional Shape as a Mid-Level Vision Gestalt
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    Chapter 7 Shape Priors for Image Segmentation
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    Chapter 8 Observations on Shape-from-Shading in Humans
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    Chapter 9 Deformations and Lighting
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    Chapter 10 The Shape of Space
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    Chapter 11 The Visual Hierarchy Mirage: Seeing Trees in a Graph
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    Chapter 12 Natural Selection and Shape Perception
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    Chapter 13 Shape as an Emergent Property
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    Chapter 14 Representing 3D Shape and Location
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    Chapter 15 Joint Registration and Shape Analysis of Curves and Surfaces
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    Chapter 16 The Statistics of Shape, Reflectance, and Lighting in Real-World Scenes
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    Chapter 17 Structure vs. Appearance and 3D vs. 2D? A Numeric Answer
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    Chapter 18 Challenges in Understanding Visual Shape Perception and Representation: Bridging Subsymbolic and Symbolic Coding
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    Chapter 19 3D Face Reconstruction from Single Two-Tone and Color Images
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    Chapter 20 Perception and Action Without Veridical Metric Reconstruction: An Affine Approach
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    Chapter 21 A Stochastic Grammar for Natural Shapes
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    Chapter 22 Hard-Wired and Plastic Mechanisms in 3-D Shape Perception
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    Chapter 23 Holistic Shape Recognition: Where-to-Look and How-to-Look
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    Chapter 24 Shape Processing as Inherently Three-Dimensional
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    Chapter 25 The Role of Shape in Visual Recognition
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    Chapter 26 Human Object Recognition: Appearance vs. Shape
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    Chapter 27 Shape-Based Object Discovery in Images
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    Chapter 28 Schema-Driven Influences in Recovering 3-D Shape from Motion in Human and Computer Vision
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    Chapter 29 Detecting, Representing and Attending to Visual Shape
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    Chapter 30 Toward a Dynamical View of Object Perception
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    Chapter 31 Modeling Shapes with Higher-Order Graphs: Methodology and Applications
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    Chapter 32 Multisensory Shape Processing
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    Chapter 33 Shape-Based Instance Detection Under Arbitrary Viewpoint
Overall attention for this book and its chapters
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Title
Shape Perception in Human and Computer Vision
Published by
Springer London, January 2013
DOI 10.1007/978-1-4471-5195-1
ISBNs
978-1-4471-5194-4, 978-1-4471-5195-1
Editors

Dickinson, Sven J., Pizlo, Zygmunt

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 2%
Unknown 50 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 4%
Other 1 2%
Lecturer > Senior Lecturer 1 2%
Student > Doctoral Student 1 2%
Student > Postgraduate 1 2%
Other 0 0%
Unknown 45 88%
Readers by discipline Count As %
Computer Science 2 4%
Arts and Humanities 1 2%
Psychology 1 2%
Neuroscience 1 2%
Engineering 1 2%
Other 0 0%
Unknown 45 88%