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Human Motion: Understanding, Modelling, Capture, and Animation 2008 ed. [Kõva köide]

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  • Formaat: Hardback, 636 pages, kõrgus x laius: 235x155 mm, kaal: 2380 g, X, 636 p., 1 Hardback
  • Sari: Computational Imaging and Vision 36
  • Ilmumisaeg: 15-Oct-2007
  • Kirjastus: Springer-Verlag New York Inc.
  • ISBN-10: 1402066929
  • ISBN-13: 9781402066924
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  • Formaat: Hardback, 636 pages, kõrgus x laius: 235x155 mm, kaal: 2380 g, X, 636 p., 1 Hardback
  • Sari: Computational Imaging and Vision 36
  • Ilmumisaeg: 15-Oct-2007
  • Kirjastus: Springer-Verlag New York Inc.
  • ISBN-10: 1402066929
  • ISBN-13: 9781402066924
Teised raamatud teemal:
Edward Muybridge (18301904) is known as the pioneer in motion capt- ing with his famous experiments in 1887 called Animal Locomotion. Since then, the ?eld of animal or human motion analysis has grown in many dir- tions. However, research and results that involve human-like animation and the recovery of motion is still far from being satisfactory. The modelling, tracking, and understanding of human motion based on video sequences as a research ?eld has increased in importance particularly in thelastdecadewiththeemergenceofapplicationsinsportssciences,medicine, biomechanics, animation (online games), surveillance, and security. Progress in human motion analysis depends on empirically anchored and grounded research in computer vision, computer graphics, and biomechanics. Though these ?elds of research are often treated separately, human motion analysis requires the integration of methodologies from computer vision and computer graphics.Furthermore,theunderstandinganduseofbiomechanicsconstraints improves the robustness of such an approach. This book is based on a June 2006 workshop held in Dagstuhl, Germany. This workshop brought together for the ?rst time researchers from the afo- mentioned disciplines. Based on their diverse perspectives, these researchers havebeendevelopingnewmethodologiesandcontributing,throughtheir - ings, to the domain of human motion analysis. The interdisciplinary character of the workshop allowed people to present a wide range of approaches that helped stimulate intellectual discussions and the exchange of new ideas.
Preface ix
Understanding Human Motion: A Historic Review
1(24)
Reinhard Klette
Garry Tee
Part I 2D Tracking
The Role of Manifold Learning in Human Motion Analysis
25(32)
Ahmed Elgammal
Chan-Su Lee
Recognition of Action as a Bayesian Parameter Estimation Problem over Time
57(24)
Volker Kruger
The William Harvey Code: Mathematical Analysis of Optical Flow Computation for Cardiac Motion
81(24)
Yusuke Kameda
Atsushi Imiya
Detection and Tracking of Humans in Single View Sequences Using 2D Articulated Model
105(28)
Filip Korc
Vaclav Hlavac
Part II Learning
Combining Discrete and Continuous 3D Trackers
133(26)
Gabriel Tsechpenakis
Dimitris Metaxas
Carol Neidle
Graphical Models for Human Motion Modelling
159(26)
Kooksang Moon
Vladimir Pavlovic
3D Human Motion Analysis in Monocular Video: Techniques and Challenges
185(28)
Cristian Sminchisescu
Spatially and Temporally Segmenting Movement to Recognize Actions
213(30)
Richard Green
Topologically Constrained Isometric Embedding
243(22)
Guy Rosman
Alexander M. Bronstein
Michael M. Bronstein
Ron Kimmel
Part III 2D--3D Tracking
Contours, Optic Flow, and Prior Knowledge: Cues for Capturing 3D Human Motion in Videos
265(30)
Thomas Brox
Bodo Rosenhahn
Daniel Cremers
Tracking Clothed People
295(24)
Bodo Rosenhahn
Uwe G. Kersting
Katie Powell
T. Brox
Hans-Peter Seidel
An Introduction to Interacting Simulated Annealing
319(28)
Juergen Gall
Bodo Rosenhahn
Hans-Peter Seidel
Motion Capture for Interaction Environments
347(30)
Daniel Grest
Reinhard Koch
Markerless Motion Capture for Biomechanical Applications
377(24)
Lars Mundermann
Stefano Corazza
Thomas P. Andriacchi
Part IV Biomechanics and Applications
Qualitative and Quantitative Aspects of Movement: The Discrepancy Between Clinical Gait Analysis and Activities of Daily Life
401(16)
Dieter Rosenbaum
Mirko Brandes
Optimization of Human Motion Exemplified with Handbiking by Means of Motion Analysis and Musculoskeletal Models
417(18)
Harald Bohm
Christian Kramer
Imitation Learning and Transferring of Human Movement and Hand Grasping to Adapt to Environment Changes
435(18)
Stephan Al-Zubi
Gerald Sommer
Accurate and Model-free Pose Estimation of Crash Test Dummies
453(24)
Stefan K. Gehrig
Hernan Badino
Jurgen Gall
Part V Modelling and Animation
A Relational Approach to Content-based Analysis of Motion Capture Data
477(30)
Meinard Muller
Tido Roder
The Representation of Rigid Body Motions in the Conformal Model of Geometric Algebra
507(24)
Leo Dorst
Video-based Capturing and Rendering of People
531(30)
Christian Theobalt
Marcus Magnor
Hans-Peter Seidel
Interacting Deformable Objects
561(36)
Matthias Teschner
Bruno Heidelberger
Matthias Muller-Fischer
From Performance Theory to Character Animation Tools
597(34)
Michael Neff
Eugene Fiume
Index 631