Robust Face Detection Using the Hausdorff Distance

  title={Robust Face Detection Using the Hausdorff Distance},
  author={Oliver Jesorsky and Klaus J. Kirchberg and Robert Frischholz},
The localization of human faces in digital images is a fundamental step in the process of face recognition. This paper presents a shape comparison approach to achieve fast, accurate face detection that is robust to changes in illumination and background. The proposed method is edge-based and works on grayscale still images. The Hausdorff distance is used as a similarity measure between a general face model and possible instances of the object within the image. The paper describes an efficient… CONTINUE READING
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