Face recognition based on ASM and line Hausdorff distance

When two sets are differently sized, the Hausdorff distance can be computed between them, even if the cardinality of one set is infinite. Different versions of this distance have been proposed and employed for face verification, among which the modified Hausdorff distance is the most famous. The important point to be noted is that, among the most commonly used similarity measures, the Hausdorff distance is the only one that has been widely applied to 3D data.

Download Full-text

A Similarity Measure Based on Hausdorff Distance for Human Face Recognition

18th International Conference on Pattern Recognition (ICPR'06) ◽

10.1109/icpr.2006.174 ◽

2006 ◽

Cited By ~ 2

Author(s):

Yuankui Hu ◽

Zengfu Wang

Keyword(s):

Face Recognition ◽

Similarity Measure ◽

Hausdorff Distance ◽

Human Face ◽

Human Face Recognition

Download Full-text

Robust face recognition from 2D and 3D images using structural Hausdorff distance

Image and Vision Computing ◽

10.1016/j.imavis.2005.09.025 ◽

2006 ◽

Vol 24 (2) ◽

pp. 176-185 ◽

Cited By ~ 13

Author(s):

Yingjie Wang ◽

Chin-Seng Chua

Keyword(s):

Face Recognition ◽

Hausdorff Distance ◽

3D Images ◽

Robust Face Recognition ◽

2D And 3D

Download Full-text

Face recognition from 2D and 3D images using structural Hausdorff distance

7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002. ◽

10.1109/icarcv.2002.1234876 ◽

2004 ◽

Author(s):

Yingjie Wang ◽

Chin-Seng Chua ◽

Yeong-Khing Ho

Keyword(s):

Face Recognition ◽

Hausdorff Distance ◽

3D Images ◽

2D And 3D

Download Full-text

Human face recognition using a spatially weighted modified Hausdorff distance

Proceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing. ISIMP 2001 (IEEE Cat. No.01EX489) ◽

10.1109/isimp.2001.925437 ◽

2002 ◽

Author(s):

Kwan-Ho Lin ◽

Baofeng Guo ◽

Kin-Man Lam ◽

Wan-Chi Siu

Keyword(s):

Face Recognition ◽

Hausdorff Distance ◽

Human Face ◽

Human Face Recognition ◽

Modified Hausdorff Distance

Download Full-text

A modification of Modified Hausdorff Distance method applying for face recognition

Science and Technology Development Journal ◽

10.32508/stdj.v20ik3.1102 ◽

2017 ◽

Vol 20 (K3) ◽

pp. 126-131 ◽

Cited By ~ 1

Author(s):

Chau Nguyen Dang ◽

Tuan Hong Do

Keyword(s):

Pattern Recognition ◽

Face Recognition ◽

Hausdorff Distance ◽

Computational Cost ◽

Modern Life ◽

Distance Method ◽

Lighting Conditions ◽

Modified Hausdorff Distance ◽

Low Computational Cost ◽

Face Expressions

Face recognition, that has a lot of applications in modern life, is still an attractive research for pattern recognition community. Due to the similarity of human face, face recognition presents a significant chalenge for pattern recognition researchers. Modified Hausdorff distance (MHD) is a low computational cost while giving high accuracy for face recognition. In this paper, a modification of MHD (MMHD) is proposed. By applying the ratio of high confident into the calculation of the distance between images, the MMHD gives higher accuracy in face recognition in comparing with MHD method. The MMHD method also gives higher performance than MHD method in face recognition in various non-ideal conditions of image: 1) varying lighting conditions, 2) varying face expressions and 3) varying of poses.

Download Full-text