Multilinear pose and body shape estimation of dressed subjects from image sets
- 1 June 2010
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1823-1830
- https://doi.org/10.1109/cvpr.2010.5539853
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.Keywords
This publication has 14 references indexed in Scilit:
- A Statistical Model of Human Pose and Body ShapeComputer Graphics Forum, 2009
- Context‐Aware Skeletal Shape DeformationComputer Graphics Forum, 2007
- Prediction of Individual Non‐Linear Aging Trajectories of FacesComputer Graphics Forum, 2007
- SCAPEACM Transactions on Graphics, 2005
- "GrabCut"Published by Association for Computing Machinery (ACM) ,2004
- Multiple View Geometry in Computer VisionPublished by Cambridge University Press (CUP) ,2004
- The space of human body shapesACM Transactions on Graphics, 2003
- An automatic modeling of human bodies from sizing parametersPublished by Association for Computing Machinery (ACM) ,2003
- A morphable model for the synthesis of 3D facesPublished by Association for Computing Machinery (ACM) ,1999
- Shape and motion from image streams under orthography: a factorization methodInternational Journal of Computer Vision, 1992