A contourlet-based face detection method in color images

Sajedi, H ; Sharif University of Technology | 2007

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  1. Type of Document: Article
  2. DOI: 10.1109/SITIS.2007.53
  3. Publisher: 2007
  4. Abstract:
  5. The first step of any face processing system is detecting the location in images where faces are present. In this paper we present an upright frontal face detection system based on the multi-resolution analysis of the face. In this method firstly, skin-color information is used to detect skin pixels in color images; then, the skin-region blocks are decomposed into frequency sub-bands using contourlet transform. Features extracted from sub-bands are used to detect face in each block. A multi-layer perceptrone (MLP) neural network was trained to do this classification. To decrease false positive detection we use eyes and lips template matching. These templates achieved by averaging corresponding parts in LL sub-band of contourlet decomposition. Experimental results show that the proposed algorithm is effective and efficient in detecting frontal faces in color images. © 2008 IEEE
  6. Keywords:
  7. Color ; Frequency bands ; Image enhancement ; Internet ; Neural networks ; Optical properties ; Skin ; Template matching ; Color images ; Color informations ; Contourlet ; Contourlet transforms ; Face detection methods ; Face processing ; False positives ; Frontal face detections ; Frontal faces ; Multi-resolution analysis ; Face recognition
  8. Source: 3rd IEEE International Conference on Signal Image Technologies and Internet Based Systems, SITIS'07, Jiangong Jinjiang, Shanghai, 16 December 2007 through 18 December 2007 ; 2007 , Pages 727-732 ; 9780769531229 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4618845