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