Title
Multilinear pose and body shape estimation of dressed subjects from image sets
Abstract
In this paper we propose a multilinear model of human pose and body shape which is estimated from a database of registered 3D body scans in different poses. The model is generated by factorizing the measurements into pose and shape dependent components. By combining it with an ICP based registration method, we are able to estimate pose and body shape of dressed subjects from single images. If several images of the subject are available, shape and poses can be optimized simultaneously for all input images. Additionally, while estimating pose and shape, we use the model as a virtual calibration pattern and also recover the parameters of the perspective camera model the images were created with.
Year
DOI
Venue
2010
10.1109/CVPR.2010.5539853
CVPR
Keywords
DocType
Volume
pipelines,matrix decomposition,shape,estimation,animation,body shape,image processing,databases,skeleton,solid modeling,pose estimation,calibration
Conference
2010
Issue
ISSN
Citations 
1
1063-6919
12
PageRank 
References 
Authors
0.60
8
5
Name
Order
Citations
PageRank
Nils Hasler127211.28
Hanno Ackermann25711.29
Bodo Rosenhahn31733137.77
thorsten thormahlen41536.80
Hans-Peter Seidel512532801.49