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Multi-view face detection and recognition under varying illumination conditions by designing an illumination effect cancelling filter

Shoja Ghiass, R ; Sharif University of Technology | 2008

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  1. Type of Document: Article
  2. Publisher: 2008
  3. Abstract:
  4. This paper presents a novel approach for detection and recognition of multi-view faces whose location is unknown and the illumination conditions are varying. The detection of faces is accomplished after canceling the effect of the various illumination conditions by using a proposed filter. Because of the independency of the approach to skin color of face, the persons with every kind of skin colors are detected even in completely dark environments. Next, the detected faces are recognized. It is a well known technique to combine the feature based methods with the template based methods in face recognition. Our experiments show that we can combine some proposed aspects of the feature based methods with eigenface method which is a statistical method, and get very successful results. The illumination dependency and scaling problems of eigenface method has also been solved by a new methodology. © 2008 Division of Signal Processin
  5. Keywords:
  6. Eigenface method ; Feature-based method ; Illumination conditions ; Illumination effect ; Multi-view face detection ; Multi-views ; Scaling problem ; Skin color ; Template based methods ; Various illumination conditions ; Algorithms ; Audio signal processing ; Feature extraction ; Signal detection ; Face recognition
  7. Source: 12th AES Symposium on New Trends in Audio and Video, NTAV 2008, Joined with the 12th IEEE Conference on Signal Processing: Algorithms, Architectures, Arrangements, and Applications, SPA 2008, Poznan, 25 September 2008 through 27 September 2008 ; 2008 , Pages 27-32 ; 9781457716607 (ISBN)