Symmetry-Based Salient Points Detection in Face Images

In the article we propose the automatic method of symmetry-based salient points detection in face images. The proposed method is based on the modified Discrete Symmetry Transform. Firstly, multiresolution Gabor Wavelets filtration is performed. Secondly, DST is used in order to detect symmetry-based salient points in face images. Then, having automatically extracted a number of salient points, further processing including feature extraction for various applications is performed. Finally, on the basis of the extracted feature vectors, face recognition in a biometrics system can be performed.

[1]  Vito Di Gesù,et al.  Symmetry operators in computer vision , 1996 .

[2]  Zhengyou Zhang,et al.  Comparison between geometry-based and Gabor-wavelets-based facial expression recognition using multi-layer perceptron , 1998, Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition.

[3]  A. Jonathan Howell.  Introduction to face recognition , 2000 .

[4]  Norbert Krüger,et al.  Face Recognition by Elastic Bunch Graph Matching , 1997, CAIP.

[5]  Yehezkel Yeshurun,et al.  Robust detection of facial features by generalized symmetry , 1992, [1992] Proceedings. 11th IAPR International Conference on Pattern Recognition.

[6]  Chengjun Liu,et al.  A Gabor feature classifier for face recognition , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[7]  Mariusz Kubanek,et al.  Czestochowa-Faces and Biometrics of Asymmetrical Face , 2004, ICAISC.

[8]  Bjarne K. Ersbøll,et al.  FAME-a flexible appearance modeling environment , 2003, IEEE Transactions on Medical Imaging.

[9]  Leonid Kompanets.  Giving birth to biometrics of asymmetrical face , 2005 .

[10]  Norbert Krüger,et al.  Face recognition by elastic bunch graph matching , 1997, Proceedings of International Conference on Image Processing.

[11]  V. D. Ges.  The Discrete Symmetry Transform in Computer , 1995 .