B-SHOT: a binary 3D feature descriptor for fast Keypoint matching on 3D point clouds. Prakhya, S., M., Liu, B., Lin, W., Jakhetiya, V., & Guntuku, S., C. Autonomous Robots, 41(7):1501-1520, IEEE, 2017.
![B-SHOT: a binary 3D feature descriptor for fast Keypoint matching on 3D point clouds [pdf]](https://bibbase.org/img/filetypes/pdf.svg "pdf")
Paper doi abstract bibtex
Paper doi abstract bibtex We present the first attempt in creating a binary 3D feature descriptor for fast and efficient keypoint matching on 3D point clouds. Specifically, we propose a binarization technique and apply it on the state-of-the-art 3D feature descriptor, SHOT (Salti et al., Comput Vision Image Underst 125:251–264, 2014) to create the first binary 3D feature descriptor, which we call B-SHOT. B-SHOT requires 32 times lesser memory for its representation while being six times faster in feature descriptor matching, when compared to the SHOT feature descriptor. Next, we propose a robust evaluation metric, specifically for 3D feature descriptors. A comprehensive evaluation on standard benchmarks reveals that B-SHOT offers comparable keypoint matching performance to that of the state-of-the-art real valued 3D feature descriptors, albeit at dramatically lower computational and memory costs.
@article{
title = {B-SHOT: a binary 3D feature descriptor for fast Keypoint matching on 3D point clouds},
type = {article},
year = {2017},
keywords = {3D Binary feature descriptors,3D keypoint matching,Binarization,Point cloud registration},
pages = {1501-1520},
volume = {41},
publisher = {IEEE},
id = {33268443-beb7-376c-a49f-c0f486ce5d20},
created = {2022-02-08T07:56:57.276Z},
file_attached = {true},
profile_id = {235249c2-3ed4-314a-b309-b1ea0330f5d9},
group_id = {1ff583c0-be37-34fa-9c04-73c69437d354},
last_modified = {2022-03-28T09:45:08.019Z},
read = {true},
starred = {false},
authored = {false},
confirmed = {true},
hidden = {false},
citation_key = {Prakhya2017},
folder_uuids = {10e04504-7e21-4b84-9037-5a4431df1a8a},
private_publication = {false},
abstract = {We present the first attempt in creating a binary 3D feature descriptor for fast and efficient keypoint matching on 3D point clouds. Specifically, we propose a binarization technique and apply it on the state-of-the-art 3D feature descriptor, SHOT (Salti et al., Comput Vision Image Underst 125:251–264, 2014) to create the first binary 3D feature descriptor, which we call B-SHOT. B-SHOT requires 32 times lesser memory for its representation while being six times faster in feature descriptor matching, when compared to the SHOT feature descriptor. Next, we propose a robust evaluation metric, specifically for 3D feature descriptors. A comprehensive evaluation on standard benchmarks reveals that B-SHOT offers comparable keypoint matching performance to that of the state-of-the-art real valued 3D feature descriptors, albeit at dramatically lower computational and memory costs.},
bibtype = {article},
author = {Prakhya, Sai Manoj and Liu, Bingbing and Lin, Weisi and Jakhetiya, Vinit and Guntuku, Sharath Chandra},
doi = {10.1007/s10514-016-9612-y},
journal = {Autonomous Robots},
number = {7}
}Downloads: 0
{"_id":"nQ5dRBKtGDRZswe4x","bibbaseid":"prakhya-liu-lin-jakhetiya-guntuku-bshotabinary3dfeaturedescriptorforfastkeypointmatchingon3dpointclouds-2017","authorIDs":[],"author_short":["Prakhya, S., M.","Liu, B.","Lin, W.","Jakhetiya, V.","Guntuku, S., C."],"bibdata":{"title":"B-SHOT: a binary 3D feature descriptor for fast Keypoint matching on 3D point clouds","type":"article","year":"2017","keywords":"3D Binary feature descriptors,3D keypoint matching,Binarization,Point cloud registration","pages":"1501-1520","volume":"41","publisher":"IEEE","id":"33268443-beb7-376c-a49f-c0f486ce5d20","created":"2022-02-08T07:56:57.276Z","file_attached":"true","profile_id":"235249c2-3ed4-314a-b309-b1ea0330f5d9","group_id":"1ff583c0-be37-34fa-9c04-73c69437d354","last_modified":"2022-03-28T09:45:08.019Z","read":"true","starred":false,"authored":false,"confirmed":"true","hidden":false,"citation_key":"Prakhya2017","folder_uuids":"10e04504-7e21-4b84-9037-5a4431df1a8a","private_publication":false,"abstract":"We present the first attempt in creating a binary 3D feature descriptor for fast and efficient keypoint matching on 3D point clouds. Specifically, we propose a binarization technique and apply it on the state-of-the-art 3D feature descriptor, SHOT (Salti et al., Comput Vision Image Underst 125:251–264, 2014) to create the first binary 3D feature descriptor, which we call B-SHOT. B-SHOT requires 32 times lesser memory for its representation while being six times faster in feature descriptor matching, when compared to the SHOT feature descriptor. Next, we propose a robust evaluation metric, specifically for 3D feature descriptors. A comprehensive evaluation on standard benchmarks reveals that B-SHOT offers comparable keypoint matching performance to that of the state-of-the-art real valued 3D feature descriptors, albeit at dramatically lower computational and memory costs.","bibtype":"article","author":"Prakhya, Sai Manoj and Liu, Bingbing and Lin, Weisi and Jakhetiya, Vinit and Guntuku, Sharath Chandra","doi":"10.1007/s10514-016-9612-y","journal":"Autonomous Robots","number":"7","bibtex":"@article{\n title = {B-SHOT: a binary 3D feature descriptor for fast Keypoint matching on 3D point clouds},\n type = {article},\n year = {2017},\n keywords = {3D Binary feature descriptors,3D keypoint matching,Binarization,Point cloud registration},\n pages = {1501-1520},\n volume = {41},\n publisher = {IEEE},\n id = {33268443-beb7-376c-a49f-c0f486ce5d20},\n created = {2022-02-08T07:56:57.276Z},\n file_attached = {true},\n profile_id = {235249c2-3ed4-314a-b309-b1ea0330f5d9},\n group_id = {1ff583c0-be37-34fa-9c04-73c69437d354},\n last_modified = {2022-03-28T09:45:08.019Z},\n read = {true},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Prakhya2017},\n folder_uuids = {10e04504-7e21-4b84-9037-5a4431df1a8a},\n private_publication = {false},\n abstract = {We present the first attempt in creating a binary 3D feature descriptor for fast and efficient keypoint matching on 3D point clouds. Specifically, we propose a binarization technique and apply it on the state-of-the-art 3D feature descriptor, SHOT (Salti et al., Comput Vision Image Underst 125:251–264, 2014) to create the first binary 3D feature descriptor, which we call B-SHOT. B-SHOT requires 32 times lesser memory for its representation while being six times faster in feature descriptor matching, when compared to the SHOT feature descriptor. Next, we propose a robust evaluation metric, specifically for 3D feature descriptors. A comprehensive evaluation on standard benchmarks reveals that B-SHOT offers comparable keypoint matching performance to that of the state-of-the-art real valued 3D feature descriptors, albeit at dramatically lower computational and memory costs.},\n bibtype = {article},\n author = {Prakhya, Sai Manoj and Liu, Bingbing and Lin, Weisi and Jakhetiya, Vinit and Guntuku, Sharath Chandra},\n doi = {10.1007/s10514-016-9612-y},\n journal = {Autonomous Robots},\n number = {7}\n}","author_short":["Prakhya, S., M.","Liu, B.","Lin, W.","Jakhetiya, V.","Guntuku, S., C."],"urls":{"Paper":"https://bibbase.org/service/mendeley/bfbbf840-4c42-3914-a463-19024f50b30c/file/28b4ddc8-328f-1d63-594d-fb8525ed3c66/Prakhya_et_al___2015___B_SHOT_A_binary_feature_descriptor_for_fast_and_e.pdf.pdf"},"biburl":"https://bibbase.org/service/mendeley/bfbbf840-4c42-3914-a463-19024f50b30c","bibbaseid":"prakhya-liu-lin-jakhetiya-guntuku-bshotabinary3dfeaturedescriptorforfastkeypointmatchingon3dpointclouds-2017","role":"author","keyword":["3D Binary feature descriptors","3D keypoint matching","Binarization","Point cloud registration"],"metadata":{"authorlinks":{}},"downloads":0},"bibtype":"article","biburl":"https://bibbase.org/service/mendeley/bfbbf840-4c42-3914-a463-19024f50b30c","creationDate":"2020-06-13T01:10:12.949Z","downloads":0,"keywords":["3d binary feature descriptors","3d keypoint matching","binarization","point cloud registration"],"search_terms":["shot","binary","feature","descriptor","fast","keypoint","matching","point","clouds","prakhya","liu","lin","jakhetiya","guntuku"],"title":"B-SHOT: a binary 3D feature descriptor for fast Keypoint matching on 3D point clouds","year":2017,"dataSources":["HdMAraSCRFLdJNzr3","ya2CyA73rpZseyrZ8","2252seNhipfTmjEBQ"]}