| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10359497 | Image and Vision Computing | 2012 | 11 Pages |
Abstract
⺠A robust sparse bounding sphere representation (RSBSR) is proposed to analyze 3D facial data. ⺠3D facial models are projected on the bounding spheres to describe both depth and the 3D geometric shape. ⺠A robust group sparse regression model (RGSRM) learns the regression matrix. ⺠Under the constraints of Spectral Regression and corruptions, noise corruptions can be removed.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Yue Ming, Qiuqi Ruan,