4 search results - page 1 / 1 » Learning Sparse Features in Granular Space for Multi-View Fa... |
FGR
2006
IEEE
13 years 10 months ago
2006
IEEE
In this paper, a novel sparse feature set is introduced into the Adaboost learning framework for multi-view face detection (MVFD), and a learning algorithm based on heuristic sear...
CVPR
2001
IEEE
14 years 6 months ago
2001
IEEE
Modeling subspaces of a distribution of interest in high dimensional spaces is a challenging problem in pattern analysis. In this paper, we present a novel framework for pose inva...
PAMI
2007
13 years 3 months ago
2007
Abstract—Rotation invariant multiview face detection (MVFD) aims to detect faces with arbitrary rotation-in-plane (RIP) and rotationoff-plane (ROP) angles in still images or vide...
ICPR
2008
IEEE
13 years 10 months ago
2008
IEEE
Simple binary patterns have been successfully used for extracting feature representations for visual object classification. In this paper, we present a method to learn a set of d...