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Designing an illumination effect canceling filter in facial images for multi-view face detection and recognition in images with complex background

Shoja Ghiass, R ; Sharif University of Technology | 2008

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  1. Type of Document: Article
  2. DOI: 10.1109/ISTEL.2008.4651411
  3. Publisher: 2008
  4. Abstract:
  5. 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 illumination is a big problem in the face detection and recognition aspects. Our proposed method doesn't use the skin color information for face detection. The detection of faces is accomplished after canceling the effect of the various illumination conditions. Two completely different methods are proposed for face detection in this paper. Because of the independency of the approaches to the face's skin color, the persons with every kind of skin colors are detected even in completely dark environments. Next, the detected faces are recognized. The experiments have shown that we can combine some proposed aspects of the feature based methods with the eigenface method and get very successful results. The illumination dependency problem of the eigenface method has also been solved by a new methodology in this paper. ©2008 IEEE
  6. Keywords:
  7. Complex background ; Eigenface method ; Face Detection ; Face detection and recognition ; Facial images ; Feature-based method ; Illumination conditions ; Illumination effect ; Multi-view ; Multi-view face detection ; Skin color ; Skin-color information ; Color ; Skin ; Face recognition
  8. Source: 2008 International Symposium on Telecommunications, IST 2008, Tehran, 27 August 2008 through 28 August 2008 ; October , 2008 , Pages 809-814 ; 9781424427512 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4651411