TY - GEN
T1 - Precise eye detection using discriminating HOG features
AU - Chen, Shuo
AU - Liu, Chengjun
PY - 2011
Y1 - 2011
N2 - We present in this paper a precise eye detection method using Discriminating Histograms of Oriented Gradients (DHOG) features. The DHOG feature extraction starts with a Principal Component Analysis (PCA) followed by a whitening transformation on the standard HOG feature space. A discriminant analysis is then performed on the reduced feature space. A set of basis vectors, based on the novel definition of the within-class and between-class scatter vectors and a new criterion vector, is defined through this analysis. The DHOG features are derived in the subspace spanned by these basis vectors. Experiments on Face Recognition Grand Challenge (FRGC) show that (i) DHOG features enhance the discriminating power of HOG features and (ii) our eye detection method outperforms existing methods.
AB - We present in this paper a precise eye detection method using Discriminating Histograms of Oriented Gradients (DHOG) features. The DHOG feature extraction starts with a Principal Component Analysis (PCA) followed by a whitening transformation on the standard HOG feature space. A discriminant analysis is then performed on the reduced feature space. A set of basis vectors, based on the novel definition of the within-class and between-class scatter vectors and a new criterion vector, is defined through this analysis. The DHOG features are derived in the subspace spanned by these basis vectors. Experiments on Face Recognition Grand Challenge (FRGC) show that (i) DHOG features enhance the discriminating power of HOG features and (ii) our eye detection method outperforms existing methods.
KW - Discriminant Analysis
KW - Eye Detection
KW - Face Recognition Grand Challenge (FRGC)
KW - Histograms of Oriented Gradients (HOG)
UR - http://www.scopus.com/inward/record.url?scp=80052791244&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80052791244&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-23672-3_54
DO - 10.1007/978-3-642-23672-3_54
M3 - Conference contribution
AN - SCOPUS:80052791244
SN - 9783642236716
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 443
EP - 450
BT - Computer Analysis of Images and Patterns - 14th International Conference, CAIP 2011, Proceedings
T2 - 14th International Conference on Computer Analysis of Images and Patterns, CAIP 2011
Y2 - 29 August 2011 through 31 August 2011
ER -