Face localization based on the morphological multi-scale fingerprint

We propose the use of morphological multi-scale fingerprints (MMF) for face localization. The MMF is computed as the local maxima and minima preserved up to a certain scale in a multi-scale analysis based on morphological erosion and dilation. This approach belongs to a class of global image feature extraction approaches, that can be combined with others to ensure robust face localization. No structural relationships between face elements is taken into account. We compare this approach to the eigenface approach to face detection with clear superior results.

[1]  Sun-Yuan Kung,et al.  Face recognition/detection by probabilistic decision-based neural network , 1997, IEEE Trans. Neural Networks.

[2]  Bogdan Raducanu,et al.  Visual self-localization with morphological neural networks , 2001, ESANN.

[3]  Thomas S. Huang,et al.  Human face detection in a complex background , 1994, Pattern Recognit..

[4]  Paul Juell,et al.  A hierarchical neural network for human face detection , 1996, Pattern Recognit..

[5]  Takeo Kanade,et al.  Rotation Invariant Neural Network-Based Face Detection , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

[6]  Takeo Kanade,et al.  Human Face Detection in Visual Scenes , 1995, NIPS.

[7]  Bogdan Raducanu,et al.  A grayscale hit-or-miss transform based on level sets , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

[8]  Mohamed A. Deriche,et al.  Scale-Space Properties of the Multiscale Morphological Dilation-Erosion , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[9]  Lawrence Sirovich,et al.  Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[10]  Bogdan Raducanu,et al.  Morphological neural networks for vision based self-localization , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

[11]  T. K. Leungfj,et al.  Finding Faces in Cluttered Scenes using Random Labeled Graph Matching , 1995 .

[12]  Takeo Kanade,et al.  Neural Network-Based Face Detection , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[13]  Kyu Ho Park,et al.  Automatic human face location in a complex background using motion and color information , 1996, Pattern Recognit..

[14]  M. Grana,et al.  Some applications of morphological neural networks , 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

[15]  Bogdan Raducanu,et al.  Face localization based on the morphological multiscale fingerprints , 2001, Pattern Recognit. Lett..

[16]  Bogdan Raducanu,et al.  Morphological neural networks for robust visual processing in mobile robotics , 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

[17]  Rama Chellappa,et al.  Human and machine recognition of faces: a survey , 1995, Proc. IEEE.

[18]  Bogdan Raducanu,et al.  An approach to face localization based on signature analysis , 1997, AVSP.

[19]  Bogdan Raducanu,et al.  Adaptive kernels for morphological heteroassociative neural networks , 2001, IS&T/SPIE Electronic Imaging.

[20]  Penio S. Penev,et al.  Local feature analysis: A general statistical theory for object representation , 1996 .

[21]  Bogdan Raducanu,et al.  On the application of morphological heteroassociative neural networks , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[22]  Roberto Cipolla,et al.  Finding initial estimates of human face location , 1995 .

[23]  Tomaso A. Poggio,et al.  Example-Based Learning for View-Based Human Face Detection , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[24]  Marian Stewart Bartlett,et al.  Viewpoint Invariant Face Recognition using Independent Component Analysis and Attractor Networks , 1996, NIPS.

[25]  Bogdan Raducanu,et al.  Fast face localization for mobile robots: signature analysis and color processing , 1998, Other Conferences.

[26]  M. Turk,et al.  Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.