Marker-Free Human Motion Capture : Estimation Concepts and Possibilities with Computer Vision Techniques from a Single Camera View Point

Daniel Grest

ISBN 10: 3838382226 / ISBN 13: 9783838382227

Edité par LAP LAMBERT Academic Publishing, 2010

A propos de cet article

nach der Bestellung gedruckt Neuware - Printed after ordering - Human Motion Capture is a widely used technique to obtain motion data for animation of virtual characters. Commercial optical motion capture systems are marker-based. This book is about marker-free motion capture and its possibilities to acquire motion from a single viewing direction. The focus of this book is on the optimization framework, which can be applied to every pose estimation problem of articulated objects. The motion function is formed with a combination of kinematic chains. This formulation leads to a Nonlinear Optimization problem and is solved with gradient-based methods, which are compared with respect to their efficiency. A new contribution is the inclusion of second order motion derivatives within the pose estimation. The pose estimation step requires correspondences between known model of the person and observed data. Computer Vision techniques are used to combine multiple types of correspondences, which are used simultaneously in the estimation without making approximations to the motion or optimization function, namely 3D-3D correspondences from stereo algorithms and 3D-2D correspondences from image silhouettes and 2D point tracking.

N° de réf. du vendeur 9783838382227

Détails bibliographiques

• Titre: Marker-Free Human Motion Capture : Estimation Concepts and Possibilities with Computer Vision Techniques from a Single Camera View Point
• Éditeur: LAP LAMBERT Academic Publishing
• Date de parution: 2010
• Langue: anglais
• ISBN à 10 chiffres: 3838382226
• ISBN à 13 chiffres: 9783838382227
• Reliure: Taschenbuch
• État de l'article: Neu
• Dimensions: 220 L x 150 H x 12 P (en millimètres) 220 millimètres de largeur par 150 millimètres de hauteur par 12 millimètres de profondeur
• Poids: 280 grammes

A propos de ce titre

Synopsis

Human Motion Capture is a widely used technique to obtain motion data for animation of virtual characters. Commercial optical motion capture systems are marker-based. This book is about marker-free motion capture and its possibilities to acquire motion from a single viewing direction. The focus of this book is on the optimization framework, which can be applied to every pose estimation problem of articulated objects. The motion function is formed with a combination of kinematic chains. This formulation leads to a Nonlinear Optimization problem and is solved with gradient-based methods, which are compared with respect to their efficiency. A new contribution is the inclusion of second order motion derivatives within the pose estimation. The pose estimation step requires correspondences between known model of the person and observed data. Computer Vision techniques are used to combine multiple types of correspondences, which are used simultaneously in the estimation without making approximations to the motion or optimization function, namely 3D-3D correspondences from stereo algorithms and 3D-2D correspondences from image silhouettes and 2D point tracking.

À propos de l'auteur

Dr.-Ing. Grest obtained his Master degree in Computer Science Engineering and his PhD at the Multimedia Image Processing Group in Kiel, Germany. He is currently Professor at the Aalborg University Copenhagen. His research field is Computer Vision and Graphics, especially motion and model reconstruction with non-linear optimization methods.