Improvements in Pose Invariance and Local Description for Gabor-based 2D Face Recognition (2008)
Abstract / truncated to 115 words
Automatic face recognition has attracted a lot of attention not only because of the large number of practical applications where human identification is needed but also due to the technical challenges involved in this problem: large variability in facial appearance, non-linearity of face manifolds and high dimensionality are some the most critical handicaps. In order to deal with the above mentioned challenges, there are two possible strategies: the first is to construct a “good” feature space in which the manifolds become simpler (more linear and more convex). This scheme usually comprises two levels of processing: (1) normalize images geometrically and photometrically and (2) extract features that are stable with respect to these variations (such as ...
face recognition – gabor – pose invariant-face recognition – statistical feature modeling – intramodal fusion
Information
- Author
- Gonzalez-Jimenez, Daniel
- Institution
- University of Vigo
- Supervisor
- Publication Year
- 2008
- Upload Date
- Oct. 6, 2008
First few pages / click to enlarge
The current layout is optimized for mobile phones. Page previews, thumbnails, and full abstracts will remain hidden until the browser window grows in width.
The current layout is optimized for tablet devices. Page previews and some thumbnails will remain hidden until the browser window grows in width.