{"id":"https://openalex.org/W2790474034","doi":"https://doi.org/10.1109/vcip.2017.8305159","title":"Robust object detection by cuboid matching with local plane optimization in indoor RGB-D images","display_name":"Robust object detection by cuboid matching with local plane optimization in indoor RGB-D images","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2790474034","doi":"https://doi.org/10.1109/vcip.2017.8305159","mag":"2790474034"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2017.8305159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2017.8305159","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Visual Communications and Image Processing (VCIP)","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/A5101959952","display_name":"Lin Guo","orcid":"https://orcid.org/0000-0001-9750-4616"},"institutions":[{"id":"https://openalex.org/I115475287","display_name":"Oklahoma State University","ror":"https://ror.org/01g9vbr38","country_code":"US","type":"education","lineage":["https://openalex.org/I115475287"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lin Guo","raw_affiliation_strings":["School of Electrical and Computer Engineering, Oklahoma State University"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Oklahoma State University","institution_ids":["https://openalex.org/I115475287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016996180","display_name":"Guoliang Fan","orcid":"https://orcid.org/0000-0002-8584-9040"},"institutions":[{"id":"https://openalex.org/I115475287","display_name":"Oklahoma State University","ror":"https://ror.org/01g9vbr38","country_code":"US","type":"education","lineage":["https://openalex.org/I115475287"]},{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Guoliang Fan","raw_affiliation_strings":["School of Automation and Information Engineering, Xi'an University of Technology, China","School of Electrical and Computer Engineering, Oklahoma State University"],"affiliations":[{"raw_affiliation_string":"School of Automation and Information Engineering, Xi'an University of Technology, China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, Oklahoma State University","institution_ids":["https://openalex.org/I115475287"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090289368","display_name":"Weihua Sheng","orcid":"https://orcid.org/0000-0003-2214-0373"},"institutions":[{"id":"https://openalex.org/I115475287","display_name":"Oklahoma State University","ror":"https://ror.org/01g9vbr38","country_code":"US","type":"education","lineage":["https://openalex.org/I115475287"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weihua Sheng","raw_affiliation_strings":["School of Electrical and Computer Engineering, Oklahoma State University"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Oklahoma State University","institution_ids":["https://openalex.org/I115475287"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101959952"],"corresponding_institution_ids":["https://openalex.org/I115475287"],"apc_list":null,"apc_paid":null,"fwci":1.0888,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.85186208,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9997000098228455,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9986000061035156,"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/cuboid","display_name":"Cuboid","score":0.9827585220336914},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7550312280654907},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6911637783050537},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6646918654441833},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.6358996629714966},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5442202091217041},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.5122967958450317},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.49910950660705566},{"id":"https://openalex.org/keywords/planar","display_name":"Planar","score":0.4733029901981354},{"id":"https://openalex.org/keywords/plane","display_name":"Plane (geometry)","score":0.4706140160560608},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.4686918258666992},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4325532615184784},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39770516753196716},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20449188351631165},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14934226870536804},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.14188340306282043},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09506258368492126}],"concepts":[{"id":"https://openalex.org/C203527163","wikidata":"https://www.wikidata.org/wiki/Q262959","display_name":"Cuboid","level":2,"score":0.9827585220336914},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7550312280654907},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6911637783050537},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6646918654441833},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6358996629714966},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5442202091217041},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.5122967958450317},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.49910950660705566},{"id":"https://openalex.org/C134786449","wikidata":"https://www.wikidata.org/wiki/Q3391255","display_name":"Planar","level":2,"score":0.4733029901981354},{"id":"https://openalex.org/C17825722","wikidata":"https://www.wikidata.org/wiki/Q17285","display_name":"Plane (geometry)","level":2,"score":0.4706140160560608},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.4686918258666992},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4325532615184784},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39770516753196716},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20449188351631165},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14934226870536804},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.14188340306282043},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09506258368492126},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2017.8305159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2017.8305159","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7900000214576721,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1565402342","https://openalex.org/W1591677984","https://openalex.org/W1770712749","https://openalex.org/W1961209718","https://openalex.org/W1969778848","https://openalex.org/W1987648924","https://openalex.org/W1999024797","https://openalex.org/W1999478155","https://openalex.org/W2034308880","https://openalex.org/W2129404737","https://openalex.org/W2135887870","https://openalex.org/W2152571752","https://openalex.org/W2156222070","https://openalex.org/W2161914072","https://openalex.org/W6605121731","https://openalex.org/W6633727509","https://openalex.org/W6635363735","https://openalex.org/W6683562173"],"related_works":["https://openalex.org/W2387231455","https://openalex.org/W2036512149","https://openalex.org/W2329792127","https://openalex.org/W2388061575","https://openalex.org/W3099045389","https://openalex.org/W4313255014","https://openalex.org/W4309394550","https://openalex.org/W2111006907","https://openalex.org/W2924050502","https://openalex.org/W4386320393"],"abstract_inverted_index":{"We":[0,67],"propose":[1],"a":[2,22,77],"new":[3],"cuboid":[4,23,93,96],"matching":[5],"algorithm":[6],"for":[7,45,92],"robust":[8],"object":[9],"detection":[10],"in":[11],"RGB-D":[12],"images":[13],"from":[14,71],"an":[15,41],"indoor":[16],"scene.":[17],"Unlike":[18],"traditional":[19],"bounding":[20],"boxes,":[21],"is":[24,58],"more":[25],"flexible":[26],"and":[27,34,50,61,86,107,122],"accurate":[28],"to":[29,81,87,100],"represent":[30],"the":[31,56,117],"object's":[32],"orientation":[33],"basic":[35],"geometry":[36],"that":[37],"can":[38],"serve":[39],"as":[40],"informative":[42],"mid-level":[43],"representation":[44],"scene":[46,57],"understanding.":[47],"However,":[48],"over-detection":[49],"miss-detection":[51],"are":[52,98],"common":[53],"problems":[54,70],"when":[55],"too":[59],"cluttered":[60],"has":[62],"many":[63],"irrelevant":[64],"planar":[65,79],"surfaces.":[66],"approach":[68],"these":[69],"two":[72],"perspectives.":[73],"First,":[74],"we":[75],"apply":[76],"few":[78],"features":[80],"improve":[82],"initial":[83],"plane":[84,90],"generation":[85],"select":[88],"dominant":[89],"candidates":[91,97],"initialization.":[94],"Second,":[95],"optimized":[99],"their":[101],"local":[102],"fitness":[103],"involving":[104],"both":[105,120],"color":[106],"depth":[108],"features.":[109],"The":[110],"experimental":[111],"results":[112],"show":[113],"significant":[114],"improvements":[115],"over":[116],"state-of-art":[118],"method":[119],"quantitatively":[121],"qualitatively.":[123]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}