Journal of Multimedia Information System

Korea Multimedia Society (한국멀티미디어학회)
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Implementation of Nose and Face Detections in Depth Image

  • Kim, Heung-jun (Dept. of Computer Software Engineering, Dongeui University) ;
  • Lee, Dong-seok (Dept. of Computer Software Engineering, Dongeui University) ;
  • Kwon, Soon-kak (Dept. of Computer Software Engineering, Dongeui University)
  • Received : 2017.03.31
  • Accepted : 2017.04.09
  • Published : 2017.03.31
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Abstract

In this paper, we propose a method which detects the nose and face of certain human by using the depth image. The proposed method has advantages of the low computational complexity and the high accuracy even in dark environment. Also, the detection accuracy of nose and face does not change in various postures. The proposed method first locates the locally protruding part from the depth image of the human body captured through the depth camera, and then confirms the nose through the depth characteristic of the nose and surrounding pixels. After finding the correct pixel of the nose, we determine the region of interest centered on the nose. In this case, the size of the region of interest is variable depending on the depth value of the nose. Then, face region can be found by performing binarization using the depth histogram in the region of interest. The proposed method can detect the nose and the face accurately regardless of the pose or the illumination of the captured area.

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References

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