{"id":"https://openalex.org/W2509577034","doi":"https://doi.org/10.1109/icip.2016.7532565","title":"A strong bilayer appearance model for human pose estimation from a high freedom still image","display_name":"A strong bilayer appearance model for human pose estimation from a high freedom still image","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2509577034","doi":"https://doi.org/10.1109/icip.2016.7532565","mag":"2509577034"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7532565","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532565","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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/A5101973686","display_name":"Chengyu Guo","orcid":"https://orcid.org/0000-0001-8462-8636"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengyu Guo","raw_affiliation_strings":["State Key Lab. of Virtual Reality Technology and Systems, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Lab. of Virtual Reality Technology and Systems, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026612895","display_name":"Songsong Ruan","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songsong Ruan","raw_affiliation_strings":["State Key Lab. of Virtual Reality Technology and Systems, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Lab. of Virtual Reality Technology and Systems, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037727301","display_name":"Xiaohui Liang","orcid":"https://orcid.org/0000-0001-6351-2538"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohui Liang","raw_affiliation_strings":["State Key Lab. of Virtual Reality Technology and Systems, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Lab. of Virtual Reality Technology and Systems, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07258755,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"abs 1312 1743","issue":null,"first_page":"1284","last_page":"1288"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9984999895095825,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/image-warping","display_name":"Image warping","score":0.8905218839645386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8175077438354492},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7309505343437195},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7107620239257812},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6913121938705444},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.650077760219574},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4861621558666229},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.4799219071865082},{"id":"https://openalex.org/keywords/3d-pose-estimation","display_name":"3D pose estimation","score":0.46078646183013916},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4530853033065796},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4372243285179138},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4366764724254608},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22347450256347656}],"concepts":[{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.8905218839645386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8175077438354492},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7309505343437195},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7107620239257812},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6913121938705444},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.650077760219574},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4861621558666229},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.4799219071865082},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.46078646183013916},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4530853033065796},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4372243285179138},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4366764724254608},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22347450256347656},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","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/icip.2016.7532565","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532565","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7200000286102295,"display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320313934","display_name":"Institut national de recherche en informatique et en automatique (INRIA)","ror":"https://ror.org/02kvxyf05"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W31861159","https://openalex.org/W1975868529","https://openalex.org/W1994197834","https://openalex.org/W1994529670","https://openalex.org/W2008213480","https://openalex.org/W2013640163","https://openalex.org/W2022699039","https://openalex.org/W2080873731","https://openalex.org/W2104049184","https://openalex.org/W2105990640","https://openalex.org/W2106321064","https://openalex.org/W2111446867","https://openalex.org/W2114836276","https://openalex.org/W2128271252","https://openalex.org/W2131263044","https://openalex.org/W2135533529","https://openalex.org/W2135715315","https://openalex.org/W2136163184","https://openalex.org/W2136391815","https://openalex.org/W2139764446","https://openalex.org/W2151103935","https://openalex.org/W2155394491","https://openalex.org/W2156547346","https://openalex.org/W2161969291","https://openalex.org/W2162762921","https://openalex.org/W2168356304","https://openalex.org/W2952422028","https://openalex.org/W6675290676","https://openalex.org/W6675961540","https://openalex.org/W6680213247","https://openalex.org/W6680285999","https://openalex.org/W6682891246"],"related_works":["https://openalex.org/W4253893311","https://openalex.org/W2113785214","https://openalex.org/W2798721181","https://openalex.org/W3201205132","https://openalex.org/W4287600488","https://openalex.org/W4312694060","https://openalex.org/W4386075737","https://openalex.org/W4281696776","https://openalex.org/W4387967917","https://openalex.org/W4299867837"],"abstract_inverted_index":{"Appearance":[0],"model":[1,89],"is":[2,60,93],"widely":[3],"used":[4],"for":[5],"image":[6],"description":[7],"and":[8,82,101,128],"demonstrates":[9],"an":[10],"impressive":[11],"performance":[12,121],"in":[13,28,79],"object":[14,27],"detection.":[15],"However,":[16],"most":[17],"appearance":[18],"models":[19],"can":[20],"not":[21],"be":[22],"applied":[23],"to":[24,53,62,96],"more":[25],"freedom":[26],"still":[29],"image,":[30],"especially":[31],"when":[32,76],"dealt":[33],"with":[34,90],"variant":[35,68],"objects":[36],"whose":[37],"shapes":[38],"are":[39,78],"modified":[40],"by":[41],"warping,":[42],"rotation,":[43],"etc.":[44],"In":[45],"this":[46],"article,":[47],"a":[48,55,73,86],"simple":[49],"but":[50],"effective":[51],"method":[52],"build":[54],"regional":[56],"rotation-invariant":[57],"feature":[58],"descriptor":[59,117],"proposed":[61,116],"catch":[63],"discriminative":[64],"information":[65],"of":[66,107],"the":[67,98,103,115],"human":[69,131],"pose,":[70],"which":[71],"has":[72],"superior":[74],"advantage":[75],"targets":[77],"arbitrary":[80],"orientations":[81],"slightly":[83],"warping.":[84],"Moreover,":[85],"mixture":[87],"spatial":[88],"visible":[91,104],"parameters":[92],"then":[94],"presented":[95],"differentiate":[97],"body":[99],"structure":[100],"estimate":[102],"accurate":[105],"position":[106],"each":[108],"joint.":[109],"The":[110],"experiment":[111],"results":[112],"indicate":[113],"that":[114],"give":[118],"near":[119],"state-of-the-art":[120],"on":[122],"both":[123],"handwritten":[124],"digit":[125],"recognition":[126],"database":[127],"two":[129],"public":[130],"motion":[132],"databases":[133],"containing":[134],"athletes":[135],"or":[136],"pedestrians":[137],"under":[138],"certain":[139],"different":[140],"variations.":[141]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}