Ebook: Shape Perception in Human and Computer Vision: An Interdisciplinary Perspective
- Tags: Image Processing and Computer Vision, Pattern Recognition
- Series: Advances in Computer Vision and Pattern Recognition
- Year: 2013
- Publisher: Springer-Verlag London
- Edition: 1
- Language: English
- pdf
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.
Shape perception has always been important in vision research, yet it is now attracting more interest than ever before, fueling the need for an interdisciplinary approach that bridges the fields of computer vision and human vision.
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:
- Presents 33 contributions from an international selection of pre-eminent researchers from both the computer vision and human vision communities
- 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
This interdisciplinary collection is essential reading for students and researchers seeking to understand the broader landscape of the problem in order to build their expertise on a firm foundation.
Dr. Sven Dickinson is Professor and Chair of the Department of Computer Science at the University of Toronto, Canada. Dr. Zygmunt Pizlo is Professor of Mathematical/Computational Cognitive Science in the Department of Psychological Sciences at Purdue University, USA.
Shape perception has always been important in vision research, yet it is now attracting more interest than ever before, fueling the need for an interdisciplinary approach that bridges the fields of computer vision and human vision.
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:
- Presents 33 contributions from an international selection of pre-eminent researchers from both the computer vision and human vision communities
- 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
This interdisciplinary collection is essential reading for students and researchers seeking to understand the broader landscape of the problem in order to build their expertise on a firm foundation.
Dr. Sven Dickinson is Professor and Chair of the Department of Computer Science at the University of Toronto, Canada. Dr. Zygmunt Pizlo is Professor of Mathematical/Computational Cognitive Science in the Department of Psychological Sciences at Purdue University, USA.
Content:
Front Matter....Pages I-XVII
The Role of Mid-Level Shape Priors in Perceptual Grouping and Image Abstraction....Pages 1-19
Symmetry Is the sine qua non of Shape....Pages 21-40
Flux Graphs for 2D Shape Analysis....Pages 41-54
An Integrated Bayesian Approach to Shape Representation and Perceptual Organization....Pages 55-70
Perceptual Organization of Shape....Pages 71-83
Two-Dimensional Shape as a Mid-Level Vision Gestalt....Pages 85-101
Shape Priors for Image Segmentation....Pages 103-117
Observations on Shape-from-Shading in Humans....Pages 119-132
Deformations and Lighting....Pages 133-144
The Shape of Space....Pages 145-156
The Visual Hierarchy Mirage: Seeing Trees in a Graph....Pages 157-170
Natural Selection and Shape Perception....Pages 171-185
Shape as an Emergent Property....Pages 187-199
Representing 3D Shape and Location....Pages 201-212
Joint Registration and Shape Analysis of Curves and Surfaces....Pages 213-224
The Statistics of Shape, Reflectance, and Lighting in Real-World Scenes....Pages 225-235
Structure vs. Appearance and 3D vs. 2D? A Numeric Answer....Pages 237-248
Challenges in Understanding Visual Shape Perception and Representation: Bridging Subsymbolic and Symbolic Coding....Pages 249-274
3D Face Reconstruction from Single Two-Tone and Color Images....Pages 275-284
Perception and Action Without Veridical Metric Reconstruction: An Affine Approach....Pages 285-298
A Stochastic Grammar for Natural Shapes....Pages 299-310
Hard-Wired and Plastic Mechanisms in 3-D Shape Perception....Pages 311-338
Holistic Shape Recognition: Where-to-Look and How-to-Look....Pages 339-356
Shape Processing as Inherently Three-Dimensional....Pages 357-372
The Role of Shape in Visual Recognition....Pages 373-385
Human Object Recognition: Appearance vs. Shape....Pages 387-397
Shape-Based Object Discovery in Images....Pages 399-412
Schema-Driven Influences in Recovering 3-D Shape from Motion in Human and Computer Vision....Pages 413-427
Detecting, Representing and Attending to Visual Shape....Pages 429-442
Toward a Dynamical View of Object Perception....Pages 443-457
Modeling Shapes with Higher-Order Graphs: Methodology and Applications....Pages 459-471
Multisensory Shape Processing....Pages 473-483
Shape-Based Instance Detection Under Arbitrary Viewpoint....Pages 485-495
Back Matter....Pages 497-502
Shape perception has always been important in vision research, yet it is now attracting more interest than ever before, fueling the need for an interdisciplinary approach that bridges the fields of computer vision and human vision.
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:
- Presents 33 contributions from an international selection of pre-eminent researchers from both the computer vision and human vision communities
- 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
This interdisciplinary collection is essential reading for students and researchers seeking to understand the broader landscape of the problem in order to build their expertise on a firm foundation.
Dr. Sven Dickinson is Professor and Chair of the Department of Computer Science at the University of Toronto, Canada. Dr. Zygmunt Pizlo is Professor of Mathematical/Computational Cognitive Science in the Department of Psychological Sciences at Purdue University, USA.
Content:
Front Matter....Pages I-XVII
The Role of Mid-Level Shape Priors in Perceptual Grouping and Image Abstraction....Pages 1-19
Symmetry Is the sine qua non of Shape....Pages 21-40
Flux Graphs for 2D Shape Analysis....Pages 41-54
An Integrated Bayesian Approach to Shape Representation and Perceptual Organization....Pages 55-70
Perceptual Organization of Shape....Pages 71-83
Two-Dimensional Shape as a Mid-Level Vision Gestalt....Pages 85-101
Shape Priors for Image Segmentation....Pages 103-117
Observations on Shape-from-Shading in Humans....Pages 119-132
Deformations and Lighting....Pages 133-144
The Shape of Space....Pages 145-156
The Visual Hierarchy Mirage: Seeing Trees in a Graph....Pages 157-170
Natural Selection and Shape Perception....Pages 171-185
Shape as an Emergent Property....Pages 187-199
Representing 3D Shape and Location....Pages 201-212
Joint Registration and Shape Analysis of Curves and Surfaces....Pages 213-224
The Statistics of Shape, Reflectance, and Lighting in Real-World Scenes....Pages 225-235
Structure vs. Appearance and 3D vs. 2D? A Numeric Answer....Pages 237-248
Challenges in Understanding Visual Shape Perception and Representation: Bridging Subsymbolic and Symbolic Coding....Pages 249-274
3D Face Reconstruction from Single Two-Tone and Color Images....Pages 275-284
Perception and Action Without Veridical Metric Reconstruction: An Affine Approach....Pages 285-298
A Stochastic Grammar for Natural Shapes....Pages 299-310
Hard-Wired and Plastic Mechanisms in 3-D Shape Perception....Pages 311-338
Holistic Shape Recognition: Where-to-Look and How-to-Look....Pages 339-356
Shape Processing as Inherently Three-Dimensional....Pages 357-372
The Role of Shape in Visual Recognition....Pages 373-385
Human Object Recognition: Appearance vs. Shape....Pages 387-397
Shape-Based Object Discovery in Images....Pages 399-412
Schema-Driven Influences in Recovering 3-D Shape from Motion in Human and Computer Vision....Pages 413-427
Detecting, Representing and Attending to Visual Shape....Pages 429-442
Toward a Dynamical View of Object Perception....Pages 443-457
Modeling Shapes with Higher-Order Graphs: Methodology and Applications....Pages 459-471
Multisensory Shape Processing....Pages 473-483
Shape-Based Instance Detection Under Arbitrary Viewpoint....Pages 485-495
Back Matter....Pages 497-502
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