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:
Apr. 01, 2014
Filed:
Mar. 20, 2012
Yichen Wei, Beijing, CN;
Fang Wen, Beijing, CN;
Jian Sun, Beijing, CN;
Tommer Leyvand, Seattle, WA (US);
Jinyu LI, Sammamish, WA (US);
Casey Meekhof, Kirkland, WA (US);
Tim Keosababian, Redmond, WA (US);
Yichen Wei, Beijing, CN;
Fang Wen, Beijing, CN;
Jian Sun, Beijing, CN;
Tommer Leyvand, Seattle, WA (US);
Jinyu Li, Sammamish, WA (US);
Casey Meekhof, Kirkland, WA (US);
Tim Keosababian, Redmond, WA (US);
Microsoft Corporation, Redmond, WA (US);
Abstract
Methods are provided for generating a low dimension pose space and using the pose space to estimate one or more head rotation angles of a user head. In one example, training image frames including a test subject head are captured under a plurality of conditions. For each frame an actual head rotation angle about a rotation axis is recorded. In each frame a face image is detected and converted to an LBP feature vector. Using principal component analysis a PCA feature vector is generated. Pose classes related to rotation angles about a rotation axis are defined. The PCA feature vectors are grouped into a pose class that corresponds to the actual rotation angle associated with the PCA feature vector. Linear discriminant analysis is applied to the pose classes to generate the low dimension pose space.