{"id":"https://openalex.org/W2080690152","doi":"https://doi.org/10.1109/icra.2014.6907568","title":"Selecting best viewpoint for human-pose estimation","display_name":"Selecting best viewpoint for human-pose estimation","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2080690152","doi":"https://doi.org/10.1109/icra.2014.6907568","mag":"2080690152"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2014.6907568","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2014.6907568","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5111835411","display_name":"Kai-Chi Chan","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kai-Chi Chan","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, U. S. A","School of Electrical and Computer Engineering, Purdue University,  West Lafayette, IN 47907, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, U. S. A","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University,  West Lafayette, IN 47907, U.S.A","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110204557","display_name":"Cheng\u2010Kok Koh","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cheng-Kok Koh","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, U. S. A","School of Electrical and Computer Engineering, Purdue University,  West Lafayette, IN 47907, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, U. S. A","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University,  West Lafayette, IN 47907, U.S.A","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026925435","display_name":"C. S. George Lee","orcid":"https://orcid.org/0000-0002-5610-0671"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C. S. George Lee","raw_affiliation_strings":["Purdue University System, West Lafayette, IN, US","School of Electrical and Computer Engineering, Purdue University,  West Lafayette, IN 47907, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University System, West Lafayette, IN, US","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University,  West Lafayette, IN 47907, U.S.A","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4844","last_page":"4849"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9988999962806702,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9936000108718872,"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/viewpoints","display_name":"Viewpoints","score":0.8704681396484375},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.8033624887466431},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7375640869140625},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6833975911140442},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6703931093215942},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5692300200462341},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.539421796798706},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5019726753234863},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.47167831659317017},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06893295049667358}],"concepts":[{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.8704681396484375},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.8033624887466431},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7375640869140625},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6833975911140442},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6703931093215942},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5692300200462341},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.539421796798706},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5019726753234863},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.47167831659317017},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06893295049667358},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra.2014.6907568","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2014.6907568","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1911783559","https://openalex.org/W2008056024","https://openalex.org/W2014503768","https://openalex.org/W2033574012","https://openalex.org/W2033819227","https://openalex.org/W2036310903","https://openalex.org/W2052024902","https://openalex.org/W2071882725","https://openalex.org/W2086509056","https://openalex.org/W2092705708","https://openalex.org/W2101024363","https://openalex.org/W2125547180","https://openalex.org/W2172156083"],"related_works":["https://openalex.org/W2385368906","https://openalex.org/W2902924992","https://openalex.org/W2626642044","https://openalex.org/W2619807045","https://openalex.org/W2388758053","https://openalex.org/W93537448","https://openalex.org/W2949734191","https://openalex.org/W2017333877","https://openalex.org/W2048332520","https://openalex.org/W2964084369"],"abstract_inverted_index":{"Estimating":[0],"human":[1,13,17,71,79,92,110,189],"poses":[2,80],"is":[3,18,122,144,156],"an":[4],"important":[5],"step":[6],"towards":[7],"developing":[8],"robots":[9,26],"that":[10,39,183],"can":[11,27,81],"understand":[12],"motion.":[14],"Since":[15],"a":[16,36,45,99,117,163,177,188],"highly":[19],"articulated,":[20],"changing":[21],"viewpoints":[22,59],"of":[23,31,44,57,63,77,116,130,141,148,151,198,207],"sensors":[24],"on":[25,74,176],"improve":[28],"the":[29,41,55,66,75,86,91,95,104,114,120,127,131,134,142,149,160,184,196,214,219],"accuracy":[30],"human-pose":[32,49,164,208],"estimation.":[33,50],"We":[34],"propose":[35],"two-phase":[37,171,221],"approach":[38,53,97,172],"determines":[40],"best":[42,67,87,105,185,215],"viewpoint":[43,68,88,106,121,132,143,186,216],"depth":[46,128],"sensor":[47,129],"for":[48,69,107,187],"The":[51,139,169,201],"proposed":[52,96,170,220],"measures":[54],"quality":[56,76,115,140,197],"potential":[58,118,199],"and":[60,204],"selects":[61],"one":[62],"them":[64],"as":[65],"each":[70],"pose.":[72],"Based":[73],"viewpoints,":[78],"be":[82,192],"directly":[83],"mapped":[84],"to":[85,102],"without":[89],"reconstructing":[90],"body.":[93],"Thus,":[94],"provides":[98],"discriminative":[100],"mapping":[101,155],"determine":[103],"estimating":[108],"different":[109,167],"poses.":[111],"To":[112],"measure":[113],"viewpoint,":[119],"first":[123],"instantiated":[124],"by":[125,158,194,212,218],"representing":[126],"using":[133,213],"finite":[135],"projective":[136],"camera":[137],"model.":[138],"expressed":[145],"in":[146,162],"terms":[147],"error":[150,161,203],"humanpose":[152],"estimates.":[153],"A":[154],"derived":[157],"minimizing":[159],"estimate":[165],"among":[166],"viewpoints.":[168,200],"has":[173],"been":[174],"evaluated":[175],"benchmark":[178],"database.":[179],"Experimental":[180],"results":[181],"showed":[182],"pose":[190],"could":[191],"determined":[193,217],"evaluating":[195],"mean":[202],"standard":[205],"deviation":[206],"estimates":[209],"were":[210],"reduced":[211],"approach.":[222]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}