The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Mar. 22, 2016
Filed:
Jun. 08, 2011
Michael J. Black, Tuebingen, DE;
Oren Freifeld, Menlo Park, CA (US);
Alexander W. Weiss, Shirley, MA (US);
Matthew M. Loper, Tuebingen, DE;
Peng Guan, Mountain View, CA (US);
Michael J. Black, Tuebingen, DE;
Oren Freifeld, Menlo Park, CA (US);
Alexander W. Weiss, Shirley, MA (US);
Matthew M. Loper, Tuebingen, DE;
Peng Guan, Mountain View, CA (US);
Brown University, Providence, RI (US);
Abstract
A novel 'contour person' (CP) model of the human body is proposed that has the expressive power of a detailed 3D model and the computational benefits of a simple 20 part-based model. The CP model is learned from a 3D model of the human body that captures natural shape and pose variations. The CP model factors deformations of the body into three components: shape variation, viewpoint change and pose variation. The CP model can be 'dressed' with a low-dimensional clothing model. The clothing is represented as a deformation from the underlying CP representation. This deformation is learned from training examples using principal component analysis to produce so-called eigen-clothing. The coefficients of the eigen-clothing can be used to recognize different categories of clothing on dressed people. The parameters of the estimated 20 body can be used to discriminatively predict 3D body shape using a learned mapping approach.