600 search results - page 1 / 120 » Learning Representative Local Features for Face Detection |
CVPR
2001
IEEE
14 years 6 months 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 ...
FGR
2008
IEEE
13 years 11 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
14 years 6 months 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...
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...
ICIAR
2010
Springer
13 years 9 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...