Shape Perception in Human and Computer Vision An Interdisciplinary Perspective /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Dickinson, Sven J. (Επιμελητής έκδοσης), Pizlo, Zygmunt (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: London : Springer London : Imprint: Springer, 2013.
• Σειρά: Advances in Computer Vision and Pattern Recognition,
• Θέματα: Computer science.; Image processing.; Pattern recognition.; Computer Science.; Image Processing and Computer Vision.; Pattern Recognition.

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 uniqu...

Πίνακας περιεχομένων:

• 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.