224 search results - page 8 / 45 » Feature Space Hausdorff Distance for Face Recognition |
108
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PAKDD
2005
ACM
15 years 3 months ago
2005
ACM
: While feature selection is very difficult for high dimensional, unstructured data such as face image, it may be much easier to do if the data can be faithfully transformed into l...
112
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JMM2
2008
14 years 9 months ago
2008
This paper presents a technique for face recognition which uses wavelet transform to derive desirable facial features. Three level decompositions are used to form the pyramidal mul...
102
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PRL
2007
14 years 9 months ago
2007
Two-dimensional principal component analysis (2DPCA) is based on the 2D images rather than 1D vectorized images like PCA, which is a classical feature extraction technique in face...
AMFG
2005
IEEE
15 years 3 months ago
2005
IEEE
Pose variations, especially large out-of-plane rotations, make face recognition a difficult problem. In this paper, we propose an algorithm that uses a single input image to accura...
ICPR
2002
IEEE
15 years 11 months ago
2002
IEEE
One of the major difficulties in face recognition systems is the in-depth pose variation problem. Most face recognition approaches assume that the pose of the face is known. In th...