Scholarly Research Excellence
@article{(International Science Index):http://waset.org/publications/9781,
  title    = {Efficient and Effective Gabor Feature Representation for Face Detection},
  author    = {Yasuomi D. Sato and  Yasutaka Kuriya},
  country   = {},
  institution={},
  abstract  = {We here propose improved version of elastic graph matching (EGM) as a face detector, called the multi-scale EGM (MS-EGM). In this improvement, Gabor wavelet-based pyramid reduces computational complexity for the feature representation often used in the conventional EGM, but preserving a critical amount of information about an image. The MS-EGM gives us higher detection performance than Viola-Jones object detection algorithm of the AdaBoost Haar-like feature cascade. We also show rapid detection speeds of the MS-EGM, comparable to the Viola-Jones method. We find fruitful benefits in the MS-EGM, in terms of topological feature representation for a face.
},
    journal   = {International Journal of Computer, Electrical, Automation, Control and Information Engineering},  volume    = {6},
  number    = {3},
  year      = {2012},
  pages     = {292 - 295},
  ee        = {http://waset.org/publications/9781},
  url       = {http://waset.org/Publications?p=63},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 63, 2012},
}