B-SHOT: A binary feature descriptor for fast and efficient keypoint matching on 3D point clouds. Prakhya, S., M., Liu, B., & Lin, W. In 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 1929-1934, 9, 2015.
B-SHOT: A binary feature descriptor for fast and efficient keypoint matching on 3D point clouds [pdf]Paper  doi  abstract   bibtex   
In this paper, we introduce the very first `binary' 3D feature descriptor, B-SHOT, for fast and efficient keypoint matching on 3D point clouds. We propose a binary quantization method that converts a real valued vector to a binary vector. We apply this method on a state-of-the-art 3D feature descriptor, SHOT [1], and create a new binary 3D feature descriptor. B-SHOT requires 32 times lesser memory for its representation while being 6 times faster in feature descriptor matching, when compared to the SHOT feature descriptor. Experimental evaluation shows that B-SHOT offers comparable keypoint matching performance to that of the state-of-the-art 3D feature descriptors on a standard benchmark dataset.

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