Deformation Models Tracking, Animation and Applications /

The computational modelling of deformations has been actively studied for the last thirty years. This is mainly due to its large range of applications that include computer animation, medical imaging, shape estimation, face deformation as well as other parts of the human body, and object tracking. I...

Full description

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: González Hidalgo, Manuel (Editor), Mir Torres, Arnau (Editor), Varona Gómez, Javier (Editor)
Format: Electronic eBook
Language:English
Published: Dordrecht : Springer Netherlands : Imprint: Springer, 2013.
Series:Lecture Notes in Computational Vision and Biomechanics, 7
Subjects:
Online Access:Full Text via HEAL-Link
Description
Summary:The computational modelling of deformations has been actively studied for the last thirty years. This is mainly due to its large range of applications that include computer animation, medical imaging, shape estimation, face deformation as well as other parts of the human body, and object tracking. In addition, these advances have been supported by the evolution of computer processing capabilities, enabling realism in a more sophisticated way. This book encompasses relevant works of expert researchers in the field of deformation models and their applications.  The book is divided into two main parts. The first part presents recent object deformation techniques from the point of view of computer graphics and computer animation. The second part of this book presents six works that study deformations from a computer vision point of view with a common characteristic: deformations are applied in real world applications. The primary audience for this work are researchers from different multidisciplinary fields, such as those related with Computer Graphics, Computer Vision, Computer Imaging, Biomedicine, Bioengineering, Mathematics, Physics, Medical Imaging and Medicine.
Physical Description:XIV, 297 p. 150 illus., 107 illus. in color. online resource.
ISBN:9789400754461
ISSN:2212-9391 ;