Shape Perception in Human and Computer Vision (eBook)

An Interdisciplinary Perspective

Sven J. Dickinson, Zygmunt Pizlo (Herausgeber)

eBook Download: PDF

2013 | 2013
XVII, 502 Seiten
Springer London (Verlag)
978-1-4471-5195-1 (ISBN)

Infos

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.

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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 "e;language"e; 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.

Inhalt

The Role of Mid-Level Shape Priors in Perceptual Grouping and Image AbstractionS.J. Dickinson, A. Levinshtein, P. Sala and C. SminchisescuSymmetry is the Sine Qua Non of ShapeY. Li, T. Sawada, Y. Shi, R.M. Steinman and Z. PizloFlux Graphs for 2D Shape AnalysisM. Rezanejad and K. SiddiqiAn Integrated Bayesian Approach to Shape Representation and Perceptual OrganizationJ. Feldman, M. Singh, E. Briscoe, V. Froyen, S. Kim and J. WilderPerceptual Organization of ShapeJ.H. ElderTwo-Dimensional Shape as a Mid-Level Vision GestaltJ. WagemansShape Priors for Image SegmentationD. CremersObservations on Shape from Shading in HumansA.J. Schofield, P. Sun and G. MazzilliDeformations and LightingD. Jacobs, A. Jorstad and A. TrouvéThe Shape of SpaceJ. Koenderink and A. van DoornThe Visual Hierarchy Mirage: Seeing Trees in a GraphS.W. ZuckerNatural Selection and Shape PerceptionM. Singh and D.D. HoffmanShape as an Emergent PropertyI.H. JemrynRepresenting 3D Shape and LocationA. GlennersterJoint Registration and Shape Analysis of Curves and SurfacesJ. Su, S. Kurtek and A. SrivastavaThe Statistics of Shape, and Reflectance, and Lighting in Real-World ScenesR.F. MurrayStructure vs. Appearance and 3D vs. 2D: A Numeric AnswerW. Hu, Z. Si and S-C. ZhuVisual Shape Perception and Representation: Bridging Subsymbolic and Symbolic CodingP.J. Kellman, P. Garrigan and G. Erlikhman3D Face Reconstruction from Single Two-Tone and Color ImagesI. Kemelmacher-Shlizerman, R. Basri and B. NadlerPerception and Action without Veridical Metric Reconstruction: An Affine ApproachF. Domini and C. CaudekA Stochastic Grammar for Natural ShapesP.F. FelzenszwalbHard-Wired and Plastic Mechanisms in 3D Shape PerceptionQ. Zaidi, A. Li, C. Wong, E. Cohen and X. MengHolistic Shape Recognition: Where-To-Look and How-To-LookJ. ShiShape Processing as Inherently Three-DimensionalC.W. TylerThe Role of Shape in Visual RecognitionB. OmmerHuman Object Recognition: Appearance vs. ShapeI. BiedermanShape-Based Object Discovery in ImagesS. Todorovic and N. PayetSchema-Driven Influences in Recovering 3D Shape from Motion in Human and Computer VisionT.V. Papathomas and D. DeCarloDetecting, Representing and Attending to Visual ShapeA.J. Rodriguez-Sánchez, G.L. Dudek and J.K. TsotsosToward a Dynamical View of Object PerceptionM.A. Peterson and L. CacciamaniModeling Shapes with Higher-Order Graphs: Methodology and ApplicationsC. Wang, Y. Zeng, D. Samaras and N. ParagiosMultisensory Shape ProcessingC. WallravenShape-Based Instance Detection under Arbitrary ViewpointE. Hsiao and M. Hebert

Produkt-Details

• Erscheint lt. Verlag: 29.6.2013
• Reihe/Serie: Advances in Computer Vision and Pattern Recognition
• Reihe/Serie: Advances in Computer Vision and Pattern Recognition
• Zusatzinfo: XVII, 502 p.
• Verlagsort: London
• Sprache: englisch
• Themenwelt: Informatik ► Grafik / Design ► Digitale Bildverarbeitung
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Schlagworte: computer vision • human vision • Object recognition • shape perception
• ISBN-10: 1-4471-5195-X / 144715195X
• ISBN-13: 978-1-4471-5195-1 / 9781447151951