Object recognition and segmentation using SIFT and Graph Cuts

  title={Object recognition and segmentation using SIFT and Graph Cuts},
  author={Akira Suga and Keita Fukuda and Tetsuya Takiguchi and Yasuo Ariki},
  journal={2008 19th International Conference on Pattern Recognition},
In this paper, we propose a method of object recognition and segmentation using scale-invariant feature transform (SIFT) and graph cuts. SIFT feature is invariant for rotations, scale changes, and illumination changes and it is often used for object recognition. However, in previous object recognition work using SIFT, the object region is simply presumed by the affine-transformation and the accurate object region was not segmented. On the other hand, graph cuts is proposed as a segmentation… CONTINUE READING
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