{"id":"https://openalex.org/W2566548511","doi":"https://doi.org/10.1109/iros.2016.7759718","title":"Parameter learning for improving binary descriptor matching","display_name":"Parameter learning for improving binary descriptor matching","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2566548511","doi":"https://doi.org/10.1109/iros.2016.7759718","mag":"2566548511"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2016.7759718","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2016.7759718","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5036357598","display_name":"Bharath Sankaran","orcid":"https://orcid.org/0000-0003-0988-3885"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Bharath Sankaran","raw_affiliation_strings":["University of Southern California, Los Angeles, CA"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060350100","display_name":"Srikumar Ramalingam","orcid":"https://orcid.org/0000-0002-2598-0151"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Srikumar Ramalingam","raw_affiliation_strings":["Mit-subishi Electric Research Labs, Cambridge, MA"],"affiliations":[{"raw_affiliation_string":"Mit-subishi Electric Research Labs, Cambridge, MA","institution_ids":["https://openalex.org/I4210159266"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008067705","display_name":"Yuichi Taguchi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuichi Taguchi","raw_affiliation_strings":["Mit-subishi Electric Research Labs, Cambridge, MA"],"affiliations":[{"raw_affiliation_string":"Mit-subishi Electric Research Labs, Cambridge, MA","institution_ids":["https://openalex.org/I4210159266"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036357598"],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":0.5068,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.74462228,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"4892","last_page":"4897"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9993000030517578,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.987500011920929,"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/orb","display_name":"Orb (optics)","score":0.9268202781677246},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.8913450241088867},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.7639391422271729},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7341986298561096},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.7214157581329346},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6947379112243652},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6463111042976379},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5520256161689758},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.4404476284980774},{"id":"https://openalex.org/keywords/binary-data","display_name":"Binary data","score":0.42248788475990295},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3275306820869446},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24403229355812073},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20133867859840393},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19315019249916077},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.14995333552360535},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.05865487456321716}],"concepts":[{"id":"https://openalex.org/C108260229","wikidata":"https://www.wikidata.org/wiki/Q47023","display_name":"Orb (optics)","level":3,"score":0.9268202781677246},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.8913450241088867},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.7639391422271729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7341986298561096},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7214157581329346},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6947379112243652},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6463111042976379},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5520256161689758},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.4404476284980774},{"id":"https://openalex.org/C2779190172","wikidata":"https://www.wikidata.org/wiki/Q4913888","display_name":"Binary data","level":3,"score":0.42248788475990295},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3275306820869446},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24403229355812073},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20133867859840393},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19315019249916077},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.14995333552360535},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.05865487456321716},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iros.2016.7759718","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2016.7759718","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.mpg.de:item_2394959","is_oa":false,"landing_page_url":"http://hdl.handle.net/11858/00-001M-0000-002D-1D65-7","pdf_url":null,"source":{"id":"https://openalex.org/S4306400654","display_name":"MPG.PuRe (Max Planck Society)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149899117","host_organization_name":"Max Planck Society","host_organization_lineage":["https://openalex.org/I149899117"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016)","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1491719799","https://openalex.org/W1549945066","https://openalex.org/W1565312575","https://openalex.org/W1955055330","https://openalex.org/W1980911747","https://openalex.org/W1995266040","https://openalex.org/W2019315587","https://openalex.org/W2100109944","https://openalex.org/W2105842272","https://openalex.org/W2117228865","https://openalex.org/W2119605622","https://openalex.org/W2141584146","https://openalex.org/W2150066425","https://openalex.org/W2151103935","https://openalex.org/W2153635508","https://openalex.org/W2156598602","https://openalex.org/W2160110230","https://openalex.org/W2170314267","https://openalex.org/W2186094539","https://openalex.org/W6629564929","https://openalex.org/W6633480776","https://openalex.org/W6675118934","https://openalex.org/W6675783020"],"related_works":["https://openalex.org/W3103148063","https://openalex.org/W2172196609","https://openalex.org/W2794556651","https://openalex.org/W4205482147","https://openalex.org/W2763213405","https://openalex.org/W59890435","https://openalex.org/W1951615866","https://openalex.org/W4312069198","https://openalex.org/W4382882667","https://openalex.org/W2553057930"],"abstract_inverted_index":{"Binary":[0],"descriptors":[1,14,48,65,126],"allow":[2,81],"fast":[3],"detection":[4],"and":[5,52,63,77,90,112,116,124,141],"matching":[6,34,53,83],"algorithms":[7],"in":[8,36,49,58],"computer":[9],"vision":[10],"problems.":[11],"Though":[12],"binary":[13,47,62,101],"can":[15,95],"be":[16,96],"computed":[17],"at":[18],"almost":[19],"two":[20],"orders":[21],"of":[22,131],"magnitude":[23],"faster":[24],"than":[25],"traditional":[26,61,122],"gradient":[27],"based":[28],"descriptors,":[29],"they":[30],"suffer":[31],"from":[32],"poor":[33],"accuracy":[35],"challenging":[37],"conditions.":[38],"In":[39,133],"this":[40],"paper":[41],"we":[42],"propose":[43],"three":[44],"improvements":[45,94],"for":[46],"their":[50,56,68],"computation":[51],"that":[54,80],"enhance":[55],"performance":[57,119],"comparison":[59],"to":[60,99,144],"non-binary":[64],"without":[66],"compromising":[67],"speed.":[69],"This":[70],"is":[71],"achieved":[72],"by":[73],"learning":[74],"some":[75,85],"weights":[76],"threshold":[78],"parameters":[79],"customized":[82],"under":[84],"variations":[86],"such":[87],"as":[88],"lighting":[89],"viewpoint.":[91],"Our":[92],"suggested":[93],"easily":[97],"applied":[98],"any":[100],"descriptor.":[102],"We":[103],"demonstrate":[104],"our":[105,136],"approach":[106],"on":[107,127],"the":[108,121],"ORB":[109,123,140],"(Oriented":[110],"FAST":[111],"Rotated":[113],"BRIEF)":[114],"descriptor":[115],"compare":[117],"its":[118],"with":[120],"SIFT":[125],"a":[128],"wide":[129],"variety":[130],"datasets.":[132],"all":[134],"instances,":[135],"enhancements":[137],"outperform":[138],"standard":[139],"are":[142],"comparable":[143],"SIFT.":[145]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
