Human motion : understanding, modelling, capture and animation, edited by Bodo Rosenhahn, Reinhard Klette and Dimitris Metaxas

Resource Information

The instance Human motion : understanding, modelling, capture and animation, edited by Bodo Rosenhahn, Reinhard Klette and Dimitris Metaxas represents a material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries. This resource is a combination of several types including: Instance, Electronic.

Image

http://images.btol.com/ContentCafe/Jacket.aspx?UserID=ebsco-test&Password=ebsco-test&Return=T&Value=9781402066931&Type=L

Label

Human motion : understanding, modelling, capture and animation, edited by Bodo Rosenhahn, Reinhard Klette and Dimitris Metaxas

Title remainder

understanding, modelling, capture and animation

Statement of responsibility

edited by Bodo Rosenhahn, Reinhard Klette and Dimitris Metaxas

Instantiates

• Human motion : understanding, modelling, capture and animation

Publication

• Dordrecht, the Netherlands, Springer, ©2008

Bibliography note

Includes bibliographical references and index

Carrier category

online resource

Carrier category code

• cr

Carrier MARC source

rdacarrier

Color

multicolored

Content category

text

Content type code

• txt

Content type MARC source

rdacontent

Contents

• 3.
• Recognition of action as a Bayesian parameter estimation problem over time
• Volker Krüger ;
• 4.
• The William Harvey code: mathematical analysis of optical flow computation for cardiac motion
• Yusuke Kameda and Atsushi Imiya ;
• 5.
• Detection and tracking of humans in single view sequences using 2D articulated model
• Filip Korč and Václav Hlaváč
• pt. II.
• 1.
• Learning:
• 6.
• Combining discrete and continuous 3D trackers
• Gabriel Tsechpenakis, Dimitris Metaxas, and Carol Neidle ;
• 7.
• Graphical models for human motion modelling
• Kooksang Moon and Vladimir Pavlović ;
• 8.
• 3D human motion analysis in monocular video: techniques and challenges
• Christian Sminchisescu ;
• Understanding human motion: a historic review
• 9.
• Spatially and temporally segmenting movement to recognize actions
• Richard Green ;
• 10.
• Topologically constrained idometric embedding
• Guy Rosman, Alexander M. Bronstein, Michael M. Bronstein, and Ron Kimmel
• pt. III.
• 2D-3D tracking:
• 11.
• Contours, optic flow, and prior knowledge: cues for capturing 3D human motion in videos
• Reinhard Klette and Garry Tee
• Thomas Brox, Bodo Rosenhahn, and Daniel Cremers ;
• 12.
• Tracking clothed people
• Bodo Rosenhahn, Uwe G. Kersting, Katie Powell, T. Brox, and Hans-Peter Seidel ;
• 13.
• An introduction to interacting simulated annealing
• Jürgen Gall, Bodo Rosenhahn, and Hans-Peter Seidel ;
• 14.
• Motion capture for interaction environments
• Daniel Grest and Reinhard Koch ;
• pt. I.
• 15.
• Markerless motion capture for biomechanical applications
• Lars Mündermann, Stefano Corazza, and Thomas P. Andriacchi
• pt. IV.
• Biomechanics and applications:
• 16.
• Qualitative and quantitative aspects of movement: the discrepancy between clinical gait analysis and activities of daily life
• Dieter Rosenbaum and Mirko Brandes ;
• 17. Optimization of human motion exemplified with handbiking by means of motion analysis and musculoskeletal models
• Harald Böhm and Christian Krämer ;
• 2D tracking:
• 18.
• Imitation learning and transferring of human movement and hand grasping to adapt to environment changes
• Stephan Al-Zubi and Gerald Sommer ;
• 19.
• Accurate and model-free pose estimation of crash test dummies
• Stefan K. Gehrig, Hernán Badino, and Jürgen Gall
• pt. V.
• Modelling and animation:
• 20.
• A relational approach to content-based analysis of motion capture data
• 2.
• Meinard Müller and Tido Röder ;
• 21.
• The representation of rigid body motions in the conformal model of geometric algebra
• Leo Dorst ;
• 22.
• Video-based capturing and rendering of people
• Christian Theobalt, Marcus Magnor, and Hans-Peter Seidel ;
• 23.
• Interacting deformable objects
• Matthias Teschner, Bruno Heidelberger, and Matthias Müller-Fischer ;
• The role of manifold learning in human motion analysis
• 24.
• From performance theory to character animation tools
• Michael Neff and Eugene Fiume
• Ahmed Elgammal and Chan-Su Lee ;

Control code

209986289

Dimensions

unknown

Extent

1 online resource (x, 633 pages)

Form of item

online

Isbn

9781402066931

Media category

computer

Media MARC source

rdamedia

Media type code

• c

Other control number

• 10.1007/978-1-4020-6693-1.
• XO928943

Other physical details

illustrations.

http://library.link/vocab/ext/overdrive/overdriveId

978-1-4020-6692-4

Record ID

.b129968237

Specific material designation

remote

System control number

(OCoLC)209986289