47 search results - page 5 / 10 » Unsupervised learning from local features for video-based fa... |
ECCV
2008
Springer
15 years 11 months ago
2008
Springer
Abstract. A new approach, called Collective Shape Difference Classifier (CSDC), is proposed to improve the accuracy and computational efficiency of 3D face recognition. The CSDC le...
ICMCS
2006
IEEE
15 years 3 months ago
2006
IEEE
It is well-known that supervised learning techniques such as linear discriminant analysis (LDA) often suffer from the so called small sample size problem when apply to solve face ...
JMM2
2007
14 years 9 months ago
2007
— A novel face recognition method is proposed, in which face images are represented by a set of local labeled graphs, each containing information about the appearance and geometr...
96
Voted
ICIAR
2010
Springer
15 years 2 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...
PKDD
2009
Springer
15 years 4 months ago
2009
Springer
Existing feature extraction methods explore either global statistical or local geometric information underlying the data. In this paper, we propose a general framework to learn fea...