Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6959290 | Signal Processing | 2015 | 10 Pages |
Abstract
In this paper, we propose a novel approach to recovering face pose from a single face image. The projection from 3D space to image plane is modeled by a scaled orthogonal projection, which contains the unknown pose parameters and face shape. To remove the ambiguity, the projection is regularized by prior information about generic face shape. Given a set of image features and a set of 3D features selected from a generic face, we can solve the unknown pose parameters conveniently through a Newton method. Owing to the shape regularization, the efficiency and accuracy of the proposed method precede the existed approach.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Jian Zhang, Rui Sun, Xiaosi Zhan, Chaoqun Hong,