Face recognition from face profile using dynamic time warping

Most of the current profile recognition algorithms depend on the correct detection of fiducial points and the determination of relationships among these fiducial points. Unfortunately, some features such as concave nose, protruding lips, flat chin, etc., make detection of such points difficult and unreliable. Also, the number and position of fiducial points vary when expression changes even for the same person. In this paper, a curvature-based matching approach is presented, which does not require the extraction of all the fiducial points, but uses information contained in the profile. The scale space filtering is used to smooth the profile and then the curvature of the filtered profile is computed. Using the curvature value, the fiducial points, such as nasion and throat can be reliably extracted using a fast and simple method. Then a dynamic time warping method is applied to match the face profile portion from nasion to throat based on the curvature value. Experiments are performed on two profile face image databases. Recognition rates and conclusion are presented and discussed.

[1]  F. Galton.  Numeralised Profiles for Classification and Recognition , 1910, Nature.

[2]  Gaile G. Gordon,et al.  Face recognition based on depth and curvature features , 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[3]  M. K. Khan,et al.  Machine identification of human faces , 1981, Pattern Recognition.

[4]  Takaaki Akimoto,et al.  Automatic creation of 3D facial models , 1993, IEEE Computer Graphics and Applications.

[5]  J. Cartoux,et al.  Face authentification or recognition by profile extraction from range images , 1989, [1989] Proceedings. Workshop on Interpretation of 3D Scenes.

[6]  Leon D. Harmon,et al.  Automatic recognition of human face profiles , 1977 .

[7]  Eamonn Keogh.  Exact Indexing of Dynamic Time Warping , 2002, VLDB.

[8]  David O'Mara,et al.  Automated facial metrology , 2002 .

[9]  Alf D. Linney,et al.  The analysis of facial profiles using scale space techniques , 1992, Pattern Recognit..

[10]  Behzad Dariush,et al.  Spatiotemporal analysis of face profiles: detection, segmentation, and registration , 1998, Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition.

[11]  S. B. Needleman,et al.  A general method applicable to the search for similarities in the amino acid sequence of two proteins. , 1970, Journal of molecular biology.