Rotation Invariant Non-rigid Shape Matching in Cluttered Scenes

@inproceedings{Lian2010RotationIN,
  title={Rotation Invariant Non-rigid Shape Matching in Cluttered Scenes},
  author={W. Lian and Lei Zhang},
  booktitle={ECCV},
  year={2010}
}
This paper presents a novel and efficient method for locating deformable shapes in cluttered scenes. The shapes to be detected may undergo arbitrary translational and rotational changes, and they can be non-rigidly deformed, occluded and corrupted by clutters. All these problems make the accurate and robust shape matching very difficult. By using a new shape representation, which involves a powerful feature descriptor, the proposed method can overcome the above difficulties successfully, and it… Expand
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