Shape perception in human and computer vision : an interdisciplinary perspective
Author(s)
Bibliographic Information
Shape perception in human and computer vision : an interdisciplinary perspective
（Advances in computer vision and pattern recognition / Sameer Singh, Sing Bing Kang, series editors）
Springer, c2013
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
This comprehensive and authoritative text/reference presents a unique, multidisciplinary perspective on Shape Perception in Human and Computer Vision. Rather than focusing purely on the state of the art, the book provides viewpoints from world-class researchers reflecting broadly on the issues that have shaped the field. Drawing upon many years of experience, each contributor discusses the trends followed and the progress made, in addition to identifying the major challenges that still lie ahead. Topics and features: examines each topic from a range of viewpoints, rather than promoting a specific paradigm; discusses topics on contours, shape hierarchies, shape grammars, shape priors, and 3D shape inference; reviews issues relating to surfaces, invariants, parts, multiple views, learning, simplicity, shape constancy and shape illusions; addresses concepts from the historically separate disciplines of computer vision and human vision using the same "language" and methods.
Table of Contents
The Role of Mid-Level Shape Priors in Perceptual Grouping and Image Abstraction
S.J. Dickinson, A. Levinshtein, P. Sala and C. Sminchisescu
Symmetry is the Sine Qua Non of Shape
Y. Li, T. Sawada, Y. Shi, R.M. Steinman and Z. Pizlo
Flux Graphs for 2D Shape Analysis
M. Rezanejad and K. Siddiqi
An Integrated Bayesian Approach to Shape Representation and Perceptual Organization
J. Feldman, M. Singh, E. Briscoe, V. Froyen, S. Kim and J. Wilder
Perceptual Organization of Shape
J.H. Elder
Two-Dimensional Shape as a Mid-Level Vision Gestalt
J. Wagemans
Shape Priors for Image Segmentation
D. Cremers
Observations on Shape from Shading in Humans
A.J. Schofield, P. Sun and G. Mazzilli
Deformations and Lighting
D. Jacobs, A. Jorstad and A. Trouve
The Shape of Space
J. Koenderink and A. van Doorn
The Visual Hierarchy Mirage: Seeing Trees in a Graph
S.W. Zucker
Natural Selection and Shape Perception
M. Singh and D.D. Hoffman
Shape as an Emergent Property
I.H. Jemryn
Representing 3D Shape and Location
A. Glennerster
Joint Registration and Shape Analysis of Curves and Surfaces
J. Su, S. Kurtek and A. Srivastava
The Statistics of Shape, and Reflectance, and Lighting in Real-World Scenes
R.F. Murray
Structure vs. Appearance and 3D vs. 2D: A Numeric Answer
W. Hu, Z. Si and S-C. Zhu
Visual Shape Perception and Representation: Bridging Subsymbolic and Symbolic Coding
P.J. Kellman, P. Garrigan and G. Erlikhman
3D Face Reconstruction from Single Two-Tone and Color Images
I. Kemelmacher-Shlizerman, R. Basri and B. Nadler
Perception and Action without Veridical Metric Reconstruction: An Affine Approach
F. Domini and C. Caudek
A Stochastic Grammar for Natural Shapes
P.F. Felzenszwalb
Hard-Wired and Plastic Mechanisms in 3D Shape Perception
Q. Zaidi, A. Li, C. Wong, E. Cohen and X. Meng
Holistic Shape Recognition: Where-To-Look and How-To-Look
J. Shi
Shape Processing as Inherently Three-Dimensional
C.W. Tyler
The Role of Shape in Visual Recognition
B. Ommer
Human Object Recognition: Appearance vs. Shape
I. Biederman
Shape-Based Object Discovery in Images
S. Todorovic and N. Payet
Schema-Driven Influences in Recovering 3D Shape from Motion in Human and Computer Vision
T.V. Papathomas and D. DeCarlo
Detecting, Representing and Attending to Visual Shape
A.J. Rodriguez-Sanchez, G.L. Dudek and J.K. Tsotsos
Toward a Dynamical View of Object Perception
M.A. Peterson and L. Cacciamani
Modeling Shapes with Higher-Order Graphs: Methodology and Applications
C. Wang, Y. Zeng, D. Samaras and N. Paragios
Multisensory Shape Processing
C. Wallraven
Shape-Based Instance Detection under Arbitrary Viewpoint
E. Hsiao and M. Hebert
by "Nielsen BookData"