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. 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.
@inproceedings{
title = {B-SHOT: A binary feature descriptor for fast and efficient keypoint matching on 3D point clouds},
type = {inproceedings},
year = {2015},
keywords = {Bismuth,Detectors,Electronic mail,Histograms,Memory management,Silicon,Three-dimensional displays},
pages = {1929-1934},
month = {9},
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created = {2022-03-28T09:45:05.362Z},
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last_modified = {2022-03-30T07:22:29.198Z},
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citation_key = {prakhyaBSHOTBinaryFeature2015a},
source_type = {inproceedings},
short_title = {B-SHOT},
private_publication = {false},
abstract = {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.},
bibtype = {inproceedings},
author = {Prakhya, Sai Manoj and Liu, Bingbing and Lin, Weisi},
doi = {10.1109/IROS.2015.7353630},
booktitle = {2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)}
}
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