{"id":"https://openalex.org/W2408846072","doi":"https://doi.org/10.1109/acpr.2015.7486579","title":"Fine pose estimation of known objects in cluttered scene images","display_name":"Fine pose estimation of known objects in cluttered scene images","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2408846072","doi":"https://doi.org/10.1109/acpr.2015.7486579","mag":"2408846072"},"language":"en","primary_location":{"id":"doi:10.1109/acpr.2015.7486579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2015.7486579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR)","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/A5069620117","display_name":"Sudipto Banerjee","orcid":"https://orcid.org/0000-0002-2239-208X"},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sudipto Banerjee","raw_affiliation_strings":["CVIT, International Institute of Information Technology, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"CVIT, International Institute of Information Technology, Hyderabad, India","institution_ids":["https://openalex.org/I64189192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069025335","display_name":"Sanchit Aggarwal","orcid":null},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sanchit Aggarwal","raw_affiliation_strings":["CVIT, International Institute of Information Technology, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"CVIT, International Institute of Information Technology, Hyderabad, India","institution_ids":["https://openalex.org/I64189192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000176044","display_name":"Anoop Namboodiri","orcid":"https://orcid.org/0000-0002-4638-0833"},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anoop M. Namboodiri","raw_affiliation_strings":["CVIT, International Institute of Information Technology, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"CVIT, International Institute of Information Technology, Hyderabad, India","institution_ids":["https://openalex.org/I64189192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069620117"],"corresponding_institution_ids":["https://openalex.org/I64189192"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20831536,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"630","last_page":"634"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9983999729156494,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9983999729156494,"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":0.9973000288009644,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9955999851226807,"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/clutter","display_name":"Clutter","score":0.8525270223617554},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8315035700798035},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.8108980655670166},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8067406415939331},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8042547702789307},{"id":"https://openalex.org/keywords/3d-pose-estimation","display_name":"3D pose estimation","score":0.6390939950942993},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.538910448551178},{"id":"https://openalex.org/keywords/articulated-body-pose-estimation","display_name":"Articulated body pose estimation","score":0.5383808016777039},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.536383330821991},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5345859527587891},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3520621061325073},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.06831267476081848}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.8525270223617554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8315035700798035},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.8108980655670166},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8067406415939331},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8042547702789307},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.6390939950942993},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.538910448551178},{"id":"https://openalex.org/C22100474","wikidata":"https://www.wikidata.org/wiki/Q4800952","display_name":"Articulated body pose estimation","level":4,"score":0.5383808016777039},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.536383330821991},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5345859527587891},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3520621061325073},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.06831267476081848},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acpr.2015.7486579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2015.7486579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W95258188","https://openalex.org/W1507506748","https://openalex.org/W1519402791","https://openalex.org/W1966656551","https://openalex.org/W1969366022","https://openalex.org/W1972630525","https://openalex.org/W1984034752","https://openalex.org/W1985304411","https://openalex.org/W1989684337","https://openalex.org/W2004312117","https://openalex.org/W2005756025","https://openalex.org/W2010625607","https://openalex.org/W2011792403","https://openalex.org/W2011852571","https://openalex.org/W2071634722","https://openalex.org/W2100968369","https://openalex.org/W2106199912","https://openalex.org/W2148821982","https://openalex.org/W2159589665","https://openalex.org/W2164918853","https://openalex.org/W6630336748","https://openalex.org/W6631135043"],"related_works":["https://openalex.org/W2113785214","https://openalex.org/W2946083937","https://openalex.org/W2798721181","https://openalex.org/W4299867837","https://openalex.org/W4386075737","https://openalex.org/W2951583186","https://openalex.org/W1974260915","https://openalex.org/W4382141741","https://openalex.org/W2088028039","https://openalex.org/W3165753266"],"abstract_inverted_index":{"Understanding":[0],"the":[1,11,41,47,65,91],"precise":[2],"3D":[3,71,95,124],"structure":[4],"of":[5,10,14,24,49,73,76,123],"an":[6,107],"environment":[7],"is":[8,18,43],"one":[9],"fundamental":[12],"goals":[13],"computer":[15],"vision":[16],"and":[17,34,79,93,137,142],"challenging":[19],"due":[20,45],"to":[21,40,46,86,97,100],"a":[22,59,74,80,113],"variety":[23],"factors":[25],"such":[26],"as":[27,112],"appearance":[28],"variation,":[29],"illumination,":[30],"pose,":[31],"noise,":[32],"occlusion":[33],"scene":[35,66,82],"clutter.":[36],"A":[37],"generic":[38],"solution":[39],"problem":[42],"ill-posed":[44],"loss":[48],"depth":[50],"information":[51],"during":[52],"imaging.":[53],"In":[54],"this":[55,111],"paper,":[56],"we":[57,84],"consider":[58],"specific":[60],"but":[61],"common":[62],"situation,":[63],"where":[64],"contains":[67],"known":[68,77],"objects.":[69],"Given":[70],"models":[72,96],"set":[75],"objects":[78,89,126],"cluttered":[81],"image,":[83,92],"try":[85],"detect":[87],"these":[88],"in":[90,127],"align":[94],"their":[98,102],"images":[99],"find":[101],"exact":[103],"pose.":[104],"We":[105,117,129],"develop":[106],"approach":[108],"that":[109],"poses":[110],"3D-to-2D":[114],"alignment":[115],"problem.":[116],"also":[118],"deal":[119],"with":[120,146],"pose":[121],"estimation":[122],"articulated":[125],"images.":[128],"evaluate":[130],"our":[131,138],"proposed":[132],"method":[133],"on":[134],"BigBird":[135],"dataset":[136],"own":[139],"tabletop":[140],"dataset,":[141],"present":[143],"experimental":[144],"comparisons":[145],"state-of-the-art":[147],"methods.":[148]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}