{"id":"https://openalex.org/W2585485706","doi":"https://doi.org/10.1109/icarcv.2016.7838686","title":"Performance evaluation of 3D keypoint detectors for time-of-flight depth data","display_name":"Performance evaluation of 3D keypoint detectors for time-of-flight depth data","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2585485706","doi":"https://doi.org/10.1109/icarcv.2016.7838686","mag":"2585485706"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv.2016.7838686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2016.7838686","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV)","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/A5016708206","display_name":"Vijaya K. Ghorpade","orcid":"https://orcid.org/0000-0003-1863-2586"},"institutions":[{"id":"https://openalex.org/I198244214","display_name":"Universit\u00e9 Clermont Auvergne","ror":"https://ror.org/01a8ajp46","country_code":"FR","type":"education","lineage":["https://openalex.org/I198244214"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Vijaya K. Ghorpade","raw_affiliation_strings":["UMR 6602, Universit\u00e9 Blaise Pascal, AUBIERE, FRANCE"],"affiliations":[{"raw_affiliation_string":"UMR 6602, Universit\u00e9 Blaise Pascal, AUBIERE, FRANCE","institution_ids":["https://openalex.org/I198244214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075937988","display_name":"Paul Checchin","orcid":"https://orcid.org/0000-0002-2930-3393"},"institutions":[{"id":"https://openalex.org/I198244214","display_name":"Universit\u00e9 Clermont Auvergne","ror":"https://ror.org/01a8ajp46","country_code":"FR","type":"education","lineage":["https://openalex.org/I198244214"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Paul Checchin","raw_affiliation_strings":["UMR 6602, Universit\u00e9 Blaise Pascal, AUBIERE, FRANCE"],"affiliations":[{"raw_affiliation_string":"UMR 6602, Universit\u00e9 Blaise Pascal, AUBIERE, FRANCE","institution_ids":["https://openalex.org/I198244214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101022132","display_name":"Laurent Malaterre","orcid":null},"institutions":[{"id":"https://openalex.org/I198244214","display_name":"Universit\u00e9 Clermont Auvergne","ror":"https://ror.org/01a8ajp46","country_code":"FR","type":"education","lineage":["https://openalex.org/I198244214"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Laurent Malaterre","raw_affiliation_strings":["UMR 6602, Universit\u00e9 Blaise Pascal, AUBIERE, FRANCE"],"affiliations":[{"raw_affiliation_string":"UMR 6602, Universit\u00e9 Blaise Pascal, AUBIERE, FRANCE","institution_ids":["https://openalex.org/I198244214"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082769962","display_name":"Laurent Trassoudaine","orcid":"https://orcid.org/0000-0002-3486-3918"},"institutions":[{"id":"https://openalex.org/I198244214","display_name":"Universit\u00e9 Clermont Auvergne","ror":"https://ror.org/01a8ajp46","country_code":"FR","type":"education","lineage":["https://openalex.org/I198244214"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Laurent Trassoudaine","raw_affiliation_strings":["UMR 6602, Universit\u00e9 Blaise Pascal, AUBIERE, FRANCE"],"affiliations":[{"raw_affiliation_string":"UMR 6602, Universit\u00e9 Blaise Pascal, AUBIERE, FRANCE","institution_ids":["https://openalex.org/I198244214"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5016708206"],"corresponding_institution_ids":["https://openalex.org/I198244214"],"apc_list":null,"apc_paid":null,"fwci":4.6381,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.94487757,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"89","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"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":0.9998999834060669,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7437042593955994},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.715003252029419},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6699928045272827},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6671019196510315},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6613209843635559},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.6298621892929077},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6092065572738647},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5545432567596436},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.467346727848053},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4660433828830719},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4512946307659149},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.41158172488212585},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3566588759422302},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26787251234054565}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7437042593955994},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.715003252029419},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6699928045272827},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6671019196510315},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6613209843635559},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.6298621892929077},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6092065572738647},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5545432567596436},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.467346727848053},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4660433828830719},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4512946307659149},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.41158172488212585},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3566588759422302},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26787251234054565},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarcv.2016.7838686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2016.7838686","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W194047500","https://openalex.org/W1505641881","https://openalex.org/W1904276390","https://openalex.org/W1989625560","https://openalex.org/W2049981393","https://openalex.org/W2094016338","https://openalex.org/W2108337347","https://openalex.org/W2111308925","https://openalex.org/W2116032541","https://openalex.org/W2136020167","https://openalex.org/W2152864241","https://openalex.org/W2156222070","https://openalex.org/W2162601563","https://openalex.org/W3040777582","https://openalex.org/W6607929386","https://openalex.org/W6639814392","https://openalex.org/W6676770471","https://openalex.org/W6680366863","https://openalex.org/W6780413204"],"related_works":["https://openalex.org/W1667647204","https://openalex.org/W2404647514","https://openalex.org/W4247536566","https://openalex.org/W2018477250","https://openalex.org/W3119814709","https://openalex.org/W4241418540","https://openalex.org/W1508895727","https://openalex.org/W2725786787","https://openalex.org/W1875930651","https://openalex.org/W1590965489"],"abstract_inverted_index":{"In":[0],"object":[1],"recognition":[2],"techniques,":[3],"specially":[4],"feature-based":[5],"methods,":[6],"a":[7,119],"fundamental":[8],"step":[9],"is":[10,42,50,56,147],"to":[11,167],"extract":[12],"keypoints":[13,136],"which":[14,95,180],"are":[15,24,77,142],"distinct":[16],"and":[17,37,79,144],"considerably":[18],"interesting":[19],"in":[20],"the":[21,61,126,161,169,177],"image.":[22],"There":[23],"many":[25],"different":[26,110],"keypoint":[27,64],"detectors":[28,49,65],"already":[29],"available,":[30],"each":[31],"with":[32,87,174],"its":[33],"own":[34],"specific":[35],"use":[36],"results":[38],"vary":[39],"enormously.":[40],"It":[41],"widely":[43],"agreed":[44],"that":[45],"evaluation":[46],"of":[47,63,109,171,176],"feature":[48],"important.":[51],"To":[52],"our":[53,172],"knowledge":[54],"there":[55],"no":[57],"comparative":[58,104],"study":[59,151],"for":[60,66,82,102,131,138],"performance":[62],"only":[67,97,139],"depth":[68,98,113,140],"data":[69,114,141],"from":[70,125],"Time-Of-Flight":[71],"(ToF)":[72],"camera.":[73],"As":[74],"ToF":[75],"sensors":[76,86],"cheap":[78],"extensively":[80],"used":[81,130,182],"robotic":[83],"applications,":[84],"especially":[85],"low":[88],"sensor":[89],"noise":[90],"like":[91],"Swiss":[92],"Ranger":[93],"SR-4k":[94],"give":[96],"data,":[99],"need":[100],"arises":[101],"this":[103],"study.":[105],"A":[106,149],"meticulous":[107],"acquisition":[108],"household":[111],"object's":[112],"has":[115,128,152],"been":[116,129,154],"achieved":[117],"using":[118,160],"Cartesian":[120],"robot.":[121],"The":[122],"pose":[123],"information":[124],"robot":[127],"more":[132],"accurate":[133],"evaluation.":[134],"Different":[135],"valid":[137],"extracted":[143],"their":[145],"repeatability":[146],"evaluated.":[148],"Comparative":[150],"also":[153],"done":[155],"on":[156],"standard":[157],"RGB-D":[158,183],"datasets":[159],"new":[162],"metrics":[163],"we":[164],"have":[165,181],"defined,":[166],"test":[168],"correctness":[170],"approach":[173],"state":[175],"art":[178],"approaches":[179],"data.":[184]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
