TY - GEN
T1 - Computing Eigenface from edge images for face recognition based on Hausdorff distance
AU - Tan, Huachun
AU - Zhang, Yu Jin
PY - 2007
Y1 - 2007
N2 - The different face regions have different degrees of importance for face recognition. In previous Hausdorff distance measures for face recognition, such as Spatially Eigen-Weighted Hausdorff distance (SEWHD) in which the weighting function is computed from grayscale images. However, Hausdorff distance is a measure for two binary point sets, not for grayscale point sets. Based on our previous work on Weighted Hausdorff distance (EFWHD) for face localization, a new weighting function of Hausdorff distance measure termed Edge Eigenface Weighted Hausdorff distance (EEWHD) is proposed for face recognition in this paper. The weighting function, which reflects the discriminative properties of face edge images effectively, is based on the eigenface of face edge images, not the eigenface of grayscale images in SEWHD, nor the edge points appearing frequency in EFWHD. The weighted Hausdorff distance Experimental results show the new method achieves higher recognition rate comparing with previous Hausdorff distance measures.
AB - The different face regions have different degrees of importance for face recognition. In previous Hausdorff distance measures for face recognition, such as Spatially Eigen-Weighted Hausdorff distance (SEWHD) in which the weighting function is computed from grayscale images. However, Hausdorff distance is a measure for two binary point sets, not for grayscale point sets. Based on our previous work on Weighted Hausdorff distance (EFWHD) for face localization, a new weighting function of Hausdorff distance measure termed Edge Eigenface Weighted Hausdorff distance (EEWHD) is proposed for face recognition in this paper. The weighting function, which reflects the discriminative properties of face edge images effectively, is based on the eigenface of face edge images, not the eigenface of grayscale images in SEWHD, nor the edge points appearing frequency in EFWHD. The weighted Hausdorff distance Experimental results show the new method achieves higher recognition rate comparing with previous Hausdorff distance measures.
UR - http://www.scopus.com/inward/record.url?scp=47349108475&partnerID=8YFLogxK
U2 - 10.1109/ICIG.2007.70
DO - 10.1109/ICIG.2007.70
M3 - Conference contribution
AN - SCOPUS:47349108475
SN - 0769529291
SN - 9780769529295
T3 - Proceedings of the 4th International Conference on Image and Graphics, ICIG 2007
SP - 639
EP - 644
BT - Proceedings of the 4th International Conference on Image and Graphics, ICIG 2007
T2 - 4th International Conference on Image and Graphics, ICIG 2007
Y2 - 22 August 2007 through 24 August 2007
ER -