Human motion : understanding, modelling, capture, and animation
Author(s)
Bibliographic Information
Human motion : understanding, modelling, capture, and animation
(Computational imaging and vision, v. 36)
Springer, c2008
Available at 13 libraries
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Note
" ... based on a June 2006 workshop held in Dagstuhl, Germany"--Pref
Includes bibliographical references and index
Description and Table of Contents
Description
This is the first book which informs about recent progress in biomechanics, computer vision and computer graphics - all in one volume. Researchers from these areas have contributed to this book to promote the establishment of human motion research as a multi-facetted discipline and to improve the exchange of ideas and concepts between these three areas. The book combines carefully written reviews with detailed reports on recent progress in research.
Table of Contents
2D Tracking.- Understanding Human Motion: A Historic Review.- The Role of Manifold Learning in Human Motion Analysis.- Recognition of Action as a Bayesian Parameter Estimation Problem over Time.- The William Harvey Code: Mathematical Analysis of Optical Flow Computation for Cardiac Motion.- Detection and Tracking of Humans in Single View Sequences Using 2D Articulated Model.- Learning.- Combining Discrete and Continuous 3D Trackers.- Graphical Models for Human Motion Modelling.- 3D Human Motion Analysis in Monocular Video: Techniques and Challenges.- Spatially and Temporally Segmenting Movement to Recognize Actions.- Topologically Constrained Isometric Embedding.- 2D-3D Tracking.- Contours, Optic Flow, and Prior Knowledge: Cues for Capturing 3D Human Motion in Videos.- Tracking Clothed People.- An Introduction to Interacting Simulated Annealing.- Motion Capture for Interaction Environments.- Markerless Motion Capture for Biomechanical Applications.- Biomechanics and Applications.- Qualitative and Quantitative Aspects of Movement: The Discrepancy Between Clinical Gait Analysis and Activities of Daily Life.- Optimization of Human Motion Exemplified with Handbiking by Means of Motion Analysis and Musculoskeletal Models.- Imitation Learning and Transferring of Human Movement and Hand Grasping to Adapt to Environment Changes.- Accurate and Model-free Pose Estimation of Crash Test Dummies.- Modelling and Animation.- A Relational Approach to Content-based Analysis of Motion Capture Data.- The Representation of Rigid Body Motions in the Conformal Model of Geometric Algebra.- Video-based Capturing and Rendering of People.- Interacting Deformable Objects.- From Performance Theory to Character Animation Tools.
by "Nielsen BookData"