From the book reviews: "Reading Dickinson and Pizlo's compilations is both enjoyable and educational, due to the wide collection of contributions in a single volume. The book successfully addresses the balance between asking difficult questions, arguing certain answers and providing clues for future directions. ... A recommended book to interested researchers working towards shape-based approaches to visua perception." (Dima Damen, IAPR newsletter, Vol. 36 (3), July, 2014)

• The Role of Mid-Level Shape Priors in Perceptual Grouping and Image Abstraction.- Symmetry is the Sine Qua Non of Shape.- Flux Graphs for 2D Shape Analysis.- An Integrated Bayesian Approach to Shape Representation and Perceptual Organization.- Perceptual Organization of Shape.- Two-Dimensional Shape as a Mid-Level Vision Gestalt.- Shape Priors for Image Segmentation.- Observations on Shape from Shading in Humans.- Deformations and Lighting.- The Shape of Space.- The Visual Hierarchy Mirage.- Natural Selection and Shape Perception.- Shape as an Emergent Property.- Representing 3D Shape and Location.- Joint Registration and Shape Analysis of Curves and Surfaces.- The Statistics of Shape, and Reflectance, and Lighting in Real-World Scenes.- Structure vs. Appearance and 3D vs. 2D.- Visual Shape Perception and Representation.- 3D Face Reconstruction from Single Two-Tone and Color Images.- Perception and Action without Veridical Metric Reconstruction.- A Stochastic Grammar for Natural Shapes.- Hard-Wired and Plastic Mechanisms in 3D Shape Perception.- Holistic Shape Recognition.- Shape Processing as Inherently Three-Dimensional.- The Role of Shape in Visual Recognition.- Human Object Recognition.- Shape-Based Object Discovery in Images.- Schema-Driven Influences in Recovering 3D Shape from Motion in Human and Computer Vision.- Detecting, Representing and Attending to Visual Shape.- Toward a Dynamical View of Object Perception.- Modeling Shapes with Higher-Order Graphs: Methodology and Applications.- Multisensory Shape Processing.- Shape-Based Instance Detection under Arbitrary Viewpoint.

From the book reviews: "Reading Dickinson and Pizlo's compilations is both enjoyable and educational, due to the wide collection of contributions in a single volume. The book successfully addresses the balance between asking difficult questions, arguing certain answers and providing clues for future directions. ... A recommended book to interested researchers working towards shape-based approaches to visua perception." (Dima Damen, IAPR newsletter, Vol. 36 (3), July, 2014)

• The Role of Mid-Level Shape Priors in Perceptual Grouping and Image Abstraction.- Symmetry is the Sine Qua Non of Shape.- Flux Graphs for 2D Shape Analysis.- An Integrated Bayesian Approach to Shape Representation and Perceptual Organization.- Perceptual Organization of Shape.- Two-Dimensional Shape as a Mid-Level Vision Gestalt.- Shape Priors for Image Segmentation.- Observations on Shape from Shading in Humans.- Deformations and Lighting.- The Shape of Space.- The Visual Hierarchy Mirage.- Natural Selection and Shape Perception.- Shape as an Emergent Property.- Representing 3D Shape and Location.- Joint Registration and Shape Analysis of Curves and Surfaces.- The Statistics of Shape, and Reflectance, and Lighting in Real-World Scenes.- Structure vs. Appearance and 3D vs. 2D.- Visual Shape Perception and Representation.- 3D Face Reconstruction from Single Two-Tone and Color Images.- Perception and Action without Veridical Metric Reconstruction.- A Stochastic Grammar for Natural Shapes.- Hard-Wired and Plastic Mechanisms in 3D Shape Perception.- Holistic Shape Recognition.- Shape Processing as Inherently Three-Dimensional.- The Role of Shape in Visual Recognition.- Human Object Recognition.- Shape-Based Object Discovery in Images.- Schema-Driven Influences in Recovering 3D Shape from Motion in Human and Computer Vision.- Detecting, Representing and Attending to Visual Shape.- Toward a Dynamical View of Object Perception.- Modeling Shapes with Higher-Order Graphs: Methodology and Applications.- Multisensory Shape Processing.- Shape-Based Instance Detection under Arbitrary Viewpoint.

From the book reviews: "Reading Dickinson and Pizlo's compilations is both enjoyable and educational, due to the wide collection of contributions in a single volume. The book successfully addresses the balance between asking difficult questions, arguing certain answers and providing clues for future directions. ... A recommended book to interested researchers working towards shape-based approaches to visua perception." (Dima Damen, IAPR newsletter, Vol. 36 (3), July, 2014)

• The Role of Mid-Level Shape Priors in Perceptual Grouping and Image Abstraction.- Symmetry is the Sine Qua Non of Shape.- Flux Graphs for 2D Shape Analysis.- An Integrated Bayesian Approach to Shape Representation and Perceptual Organization.- Perceptual Organization of Shape.- Two-Dimensional Shape as a Mid-Level Vision Gestalt.- Shape Priors for Image Segmentation.- Observations on Shape from Shading in Humans.- Deformations and Lighting.- The Shape of Space.- The Visual Hierarchy Mirage.- Natural Selection and Shape Perception.- Shape as an Emergent Property.- Representing 3D Shape and Location.- Joint Registration and Shape Analysis of Curves and Surfaces.- The Statistics of Shape, and Reflectance, and Lighting in Real-World Scenes.- Structure vs. Appearance and 3D vs. 2D.- Visual Shape Perception and Representation.- 3D Face Reconstruction from Single Two-Tone and Color Images.- Perception and Action without Veridical Metric Reconstruction.- A Stochastic Grammar for Natural Shapes.- Hard-Wired and Plastic Mechanisms in 3D Shape Perception.- Holistic Shape Recognition.- Shape Processing as Inherently Three-Dimensional.- The Role of Shape in Visual Recognition.- Human Object Recognition.- Shape-Based Object Discovery in Images.- Schema-Driven Influences in Recovering 3D Shape from Motion in Human and Computer Vision.- Detecting, Representing and Attending to Visual Shape.- Toward a Dynamical View of Object Perception.- Modeling Shapes with Higher-Order Graphs: Methodology and Applications.- Multisensory Shape Processing.- Shape-Based Instance Detection under Arbitrary Viewpoint.