Dynamical Vision (häftad)
Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
329
Utgivningsdatum
2007-02-01
Upplaga
2007 ed.
Förlag
Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Medarbetare
Vidal, Rene (ed.), Heyden, Anders (ed.), Ma, Yi (ed.)
Illustratör/Fotograf
Bibliographie
Illustrationer
IX, 329 p.
Dimensioner
231 x 155 x 20 mm
Vikt
499 g
Antal komponenter
1
Komponenter
1 Paperback / softback
ISBN
9783540709312
Dynamical Vision (häftad)

Dynamical Vision

ICCV 2005 and ECCV 2006 Workshops, WDV 2005 and WDV 2006, Beijing, China, October 21, 2005, Graz, Austria, May 13, 2006, Revised Papers

Häftad Engelska, 2007-02-01
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This book constitutes the thoroughly refereed joint post-proceedings of the first two International Workshops on Dynamical Vision, WDV 2005 and WDV 2006 held in Beijing, China in October 2005 within the scope of ICCV 2005 and in Graz, Austria in May 2006 in the course of ECCV 2006. The 24 revised full papers address a wide range of theoretical and application issues in dynamical vision.
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Innehållsförteckning

Motion Segmentation and Estimation.- The Space of Multibody Fundamental Matrices: Rank, Geometry and Projection.- Direct Segmentation of Multiple 2-D Motion Models of Different Types.- Motion Segmentation Using an Occlusion Detector.- Robust 3D Segmentation of Multiple Moving Objects Under Weak Perspective.- Nonparametric Estimation of Multiple Structures with Outliers.- Human Motion Analysis, Tracking and Recognition.- Articulated Motion Segmentation Using RANSAC with Priors.- Articulated-Body Tracking Through Anisotropic Edge Detection.- Homeomorphic Manifold Analysis: Learning Decomposable Generative Models for Human Motion Analysis.- View-Invariant Modeling and Recognition of Human Actions Using Grammars.- Dynamic Textures.- Segmenting Dynamic Textures with Ising Descriptors, ARX Models and Level Sets.- Spatial Segmentation of Temporal Texture Using Mixture Linear Models.- Online Video Registration of Dynamic Scenes Using Frame Prediction.- Dynamic Texture Recognition Using Volume Local Binary Patterns.- Motion Tracking.- A Rao-Blackwellized Parts-Constellation Tracker.- Bayesian Tracking with Auxiliary Discrete Processes. Application to Detection and Tracking of Objects with Occlusions.- Tracking of Multiple Objects Using Optical Flow Based Multiscale Elastic Matching.- Real-Time Tracking with Classifiers.- Rigid and Non-rigid Motion Analysis.- A Probabilistic Framework for Correspondence and Egomotion.- Estimating the Pose of a 3D Sensor in a Non-rigid Environment.- A Batch Algorithm for Implicit Non-rigid Shape and Motion Recovery.- Motion Filtering and Vision-Based Control.- Using a Connected Filter for Structure Estimation in Perspective Systems.- Recursive Structure from Motion Using Hybrid Matching Constraints with Error Feedback.- Force/Vision Based Active Damping Control of Contact Transition in Dynamic Environments.- Segmentation and Guidance of Multiple Rigid Objects for Intra-operative Endoscopic Vision.