{"id":"https://openalex.org/W2921884128","doi":"https://doi.org/10.1109/robio.2018.8665084","title":"CI-SHOT: A Statistical Method for Binary Feature Descriptor on 3D Point Clouds","display_name":"CI-SHOT: A Statistical Method for Binary Feature Descriptor on 3D Point Clouds","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2921884128","doi":"https://doi.org/10.1109/robio.2018.8665084","mag":"2921884128"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2018.8665084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2018.8665084","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102319117","display_name":"Liangjie Du","orcid":null},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangjie Du","raw_affiliation_strings":["Institute of Robotics and Intelligent Systems, Wuhan University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Robotics and Intelligent Systems, Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059265171","display_name":"Huasong Min","orcid":"https://orcid.org/0000-0003-4845-0097"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huasong Min","raw_affiliation_strings":["Institute of Robotics and Intelligent Systems, Wuhan University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Robotics and Intelligent Systems, Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084568164","display_name":"Yunhan Lin","orcid":"https://orcid.org/0000-0003-2779-2637"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunhan Lin","raw_affiliation_strings":["College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I43922553"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.21442719,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"373","last_page":"379"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.648020327091217},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6142249703407288},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6009106040000916},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.5859813094139099},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.557212233543396},{"id":"https://openalex.org/keywords/memory-footprint","display_name":"Memory footprint","score":0.5512722730636597},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.5420113801956177},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5177339911460876},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5140393972396851},{"id":"https://openalex.org/keywords/chebyshev-filter","display_name":"Chebyshev filter","score":0.5107626914978027},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5048616528511047},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.431529700756073},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.41732412576675415},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.414800226688385},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3789902329444885},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3219373822212219},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22475525736808777}],"concepts":[{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.648020327091217},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6142249703407288},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6009106040000916},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.5859813094139099},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.557212233543396},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.5512722730636597},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.5420113801956177},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5177339911460876},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5140393972396851},{"id":"https://openalex.org/C21424316","wikidata":"https://www.wikidata.org/wiki/Q718621","display_name":"Chebyshev filter","level":2,"score":0.5107626914978027},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5048616528511047},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.431529700756073},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.41732412576675415},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.414800226688385},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3789902329444885},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3219373822212219},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22475525736808777},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2018.8665084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2018.8665084","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2019085623","https://openalex.org/W2024039087","https://openalex.org/W2027922120","https://openalex.org/W2067956279","https://openalex.org/W2070961462","https://openalex.org/W2080471231","https://openalex.org/W2091106122","https://openalex.org/W2097018403","https://openalex.org/W2113606819","https://openalex.org/W2131663644","https://openalex.org/W2155284717","https://openalex.org/W2204120404","https://openalex.org/W2535191603","https://openalex.org/W2556205602","https://openalex.org/W2565441601","https://openalex.org/W2735595030","https://openalex.org/W2744972750","https://openalex.org/W2772926850","https://openalex.org/W4232730838","https://openalex.org/W6674642818","https://openalex.org/W6682725716"],"related_works":["https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W2980279061","https://openalex.org/W2334685461","https://openalex.org/W2366718574","https://openalex.org/W2359774528","https://openalex.org/W4298312966","https://openalex.org/W4281806264"],"abstract_inverted_index":{"3D":[0,20],"feature":[1,55,124],"descriptors":[2,26,91],"play":[3],"an":[4],"important":[5],"role":[6],"in":[7,34,53,61,86,158],"the":[8,35,54,72,83,110,150],"field":[9],"of":[10,31,37,74,130,132],"computer":[11],"vision":[12,21],"because":[13],"it":[14],"is":[15,105],"a":[16,114,119],"pre-requisite":[17],"for":[18],"many":[19,24],"applications.":[22],"Although":[23],"such":[25,45],"exist":[27],"so":[28],"far,":[29],"most":[30],"them":[32],"represent":[33],"form":[36],"floating":[38,111],"vector,":[39],"which":[40],"leads":[41],"to":[42,108,117],"several":[43],"problems":[44],"as":[46],"computational":[47],"complexity":[48],"and":[49,71,121,138,161],"costly":[50],"memory":[51],"footprint":[52],"matching":[56,162],"process.":[57],"The":[58,100,146],"algorithm":[59],"proposed":[60,85],"this":[62,87],"paper":[63],"contains":[64],"two":[65,98],"variable":[66],"parameters,":[67],"simplified":[68,90,143],"unit":[69],"\u03bc":[70],"number":[73],"coding":[75],"bits":[76],"N.":[77],"For":[78],"different":[79,89],"original":[80],"descriptors,":[81],"using":[82],"method":[84],"paper,":[88],"can":[92],"be":[93],"generated":[94],"by":[95],"changing":[96],"these":[97],"parameters.":[99],"Chebyshev":[101],"Inequality":[102,128],"mathematical":[103],"model":[104],"then":[106],"used":[107],"convert":[109],"vector":[112],"into":[113],"binary":[115,142],"code":[116],"obtain":[118],"simpler":[120],"more":[122],"efficient":[123],"descriptor":[125,144],"CI-SHOT":[126,137,154],"(Chebyshev":[127],"Signature":[129],"Histogram":[131],"Orientations).":[133],"Finally,":[134],"we":[135],"compare":[136],"SHOT":[139],"with":[140],"another":[141],"B-SHOT.":[145],"experimental":[147],"results":[148],"on":[149],"dataset":[151],"show":[152],"that":[153],"has":[155],"obvious":[156],"advantages":[157],"keypoint":[159],"detection":[160],"performance.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
