600 search results - page 1 / 120 » Learning Representative Local Features for Face Detection |
91
Voted
CVPR
2001
IEEE
16 years 28 days ago
2001
IEEE
This paper describes a face detection approach via learning local features. The key idea is that local features, being manifested by a collection of pixels in a local region, are ...
101
Voted
FGR
2008
IEEE
15 years 5 months ago
2008
IEEE
This paper presents an unsupervised learning approach to video-based face recognition that does not make any assumptions about the pose, expressions or prior localization of landm...
CVPR
2004
IEEE
16 years 28 days ago
2004
IEEE
Face detection systems have recently achieved high detection rates[11, 8, 5] and real-time performance[11]. However, these methods usually rely on a huge training database (around...
101
Voted
CVPR
2001
IEEE
16 years 28 days 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...
101
Voted
ICIAR
2010
Springer
15 years 3 months ago
2010
Springer
Abstract. The Scale Invariant Feature Transform (SIFT) is an algorithm used to detect and describe scale-, translation- and rotation-invariant local features in images. The origina...