PMID: 15376958Sep 21, 2004Paper

Nonlinear color space and spatiotemporal MRF for hierarchical segmentation of face features in video

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
Marc Liévin, Franck Luthon

Abstract

This paper deals with the low-level joint processing of color and motion for robust face analysis within a feature-based approach. To gain robustness and contrast under unsupervised viewing conditions, a nonlinear color transform relevant for hue segmentation is derived from a logarithmic model. A hierarchical segmentation scheme is based on Markov random field modeling, that combines hue and motion detection within a spatiotemporal neighborhood. Relevant face regions are segmented without parameter tuning. The accuracy of the label fields enables not only face detection and tracking but also geometrical measurements on facial feature edges, such as lips or eyes. Results are shown both on typical test sequences and on various sequences acquired from micro- or mobile cameras. The efficiency of the method makes it suitable for real-time applications aiming at audiovisual communication in unsupervised environments.

References

Jan 1, 1996·IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society·S Shah, M D Levine
Feb 13, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·C H Lin, J L Wu
Jun 1, 1984·IEEE Transactions on Pattern Analysis and Machine Intelligence·S Geman, D Geman

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Citations

Jun 24, 2014·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Yiu-Ming CheungXinge You
Nov 30, 2012·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Guang Deng
Nov 2, 2006·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Jose M PalomaresAlberto Prieto
Dec 20, 2015·IEEE Transactions on Neural Networks and Learning Systems·Yiu-Ming CheungC L Philip Chen

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