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A Study on the Optimization for Three Dimensional Reconstruction of Bio Surface Using by Stereo Vision

스테레오 비젼에 의한 생체표면 3차원 복원의 최적화 연구

  • Lee, Kyungchai (Dept. of Electronics and Information Engineering, Korea University) ;
  • Lee, Onseok (Dept. of Medical IT Engineering, Soonchunhyang University)
  • Received : 2016.08.09
  • Accepted : 2016.12.21
  • Published : 2017.01.01

Abstract

Unlike regular images, there is no ground truth for bio surface images. Result of biosurface imaging is not only significantly affected by the environment and the condition of the bio surface, it requires more detailed expression than regular images. Therefore, unlike algorithms tested on regular images, studies on bio surface images requires a highly precise optimization process. We aim to optimize the graph cut algorithm, known to be the most outstanding among the stereo visions, by considering baseline, lambda, and disparity range. Optimal results were in the range of 1~10 for lambda. The disparity ranged from -30 to -50, indicating an optimal value in a slightly higher range. Furthermore, we verified the tested optimization data using SIFT.

Keywords

References

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