{"id":"https://openalex.org/W2054352634","doi":"https://doi.org/10.1109/icsmc.2012.6378158","title":"Supervised manifold learning based on biased distance for view invariant body pose estimation","display_name":"Supervised manifold learning based on biased distance for view invariant body pose estimation","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W2054352634","doi":"https://doi.org/10.1109/icsmc.2012.6378158","mag":"2054352634"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2012.6378158","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2012.6378158","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5078368884","display_name":"Dongcheol Hur","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Dongcheol Hur","raw_affiliation_strings":["College of Information and Communications, Korea University, Seoul, South Korea","College of Information and Communications, Korea University, Seoul, Korea#TAB#"],"affiliations":[{"raw_affiliation_string":"College of Information and Communications, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"College of Information and Communications, Korea University, Seoul, Korea#TAB#","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073529866","display_name":"Christian Wallraven","orcid":"https://orcid.org/0000-0002-2604-9115"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Christian Wallraven","raw_affiliation_strings":["College of Information and Communications, Korea University, Seoul, South Korea","College of Information and Communications, Korea University, Seoul, Korea#TAB#"],"affiliations":[{"raw_affiliation_string":"College of Information and Communications, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"College of Information and Communications, Korea University, Seoul, Korea#TAB#","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011014617","display_name":"Seong\u2010Whan Lee","orcid":"https://orcid.org/0000-0002-6249-4996"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seong-Whan Lee","raw_affiliation_strings":["College of Information and Communications, Korea University, Seoul, South Korea","College of Information and Communications, Korea University, Seoul, Korea#TAB#"],"affiliations":[{"raw_affiliation_string":"College of Information and Communications, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"College of Information and Communications, Korea University, Seoul, Korea#TAB#","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5078368884"],"corresponding_institution_ids":["https://openalex.org/I197347611"],"apc_list":null,"apc_paid":null,"fwci":0.2745,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57607572,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"2717","last_page":"2720"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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/T10812","display_name":"Human Pose and Action Recognition","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/T10531","display_name":"Advanced Vision and Imaging","score":0.9973999857902527,"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":0.9973000288009644,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.9393681287765503},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.76999831199646},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.7491087317466736},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.6303111910820007},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.6151162981987},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6149042844772339},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5781199932098389},{"id":"https://openalex.org/keywords/3d-pose-estimation","display_name":"3D pose estimation","score":0.575843334197998},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5668987035751343},{"id":"https://openalex.org/keywords/body-shape","display_name":"Body shape","score":0.5582246780395508},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.51889568567276},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.5020880699157715},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4661993086338043},{"id":"https://openalex.org/keywords/manifold-alignment","display_name":"Manifold alignment","score":0.46158626675605774},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33409175276756287},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.2504391670227051},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06641021370887756},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0648798942565918}],"concepts":[{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.9393681287765503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.76999831199646},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.7491087317466736},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.6303111910820007},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.6151162981987},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6149042844772339},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5781199932098389},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.575843334197998},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5668987035751343},{"id":"https://openalex.org/C60627051","wikidata":"https://www.wikidata.org/wiki/Q1072278","display_name":"Body shape","level":2,"score":0.5582246780395508},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.51889568567276},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.5020880699157715},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4661993086338043},{"id":"https://openalex.org/C153120616","wikidata":"https://www.wikidata.org/wiki/Q17068315","display_name":"Manifold alignment","level":4,"score":0.46158626675605774},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33409175276756287},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.2504391670227051},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06641021370887756},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0648798942565918},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2012.6378158","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2012.6378158","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1973181164","https://openalex.org/W1981678390","https://openalex.org/W1987015105","https://openalex.org/W2009143764","https://openalex.org/W2014905483","https://openalex.org/W2053186076","https://openalex.org/W2103636892","https://openalex.org/W2123503110","https://openalex.org/W2152386463","https://openalex.org/W2160142792","https://openalex.org/W2160933580","https://openalex.org/W2169779569","https://openalex.org/W6675590928"],"related_works":["https://openalex.org/W3109610583","https://openalex.org/W2387045723","https://openalex.org/W2375518579","https://openalex.org/W117517268","https://openalex.org/W2944373987","https://openalex.org/W2112684860","https://openalex.org/W2391701611","https://openalex.org/W2149544245","https://openalex.org/W2923551166","https://openalex.org/W65619410"],"abstract_inverted_index":{"In":[0,51],"human":[1],"body":[2,20,25,83],"pose":[3,26],"estimation,":[4,43],"manifold":[5,42],"learning":[6,70],"is":[7,27,45],"a":[8,56,93,96],"useful":[9],"method":[10],"for":[11,69],"reducing":[12],"the":[13,87,90],"dimension":[14],"of":[15,89],"2D":[16],"images":[17,33],"and":[18,81,95],"3D":[19,82],"configuration":[21],"data.":[22],"Most":[23],"commonly,":[24],"estimated":[28],"from":[29,32],"silhouettes":[30],"derived":[31],"or":[34],"image":[35],"sequences.":[36],"A":[37],"major":[38],"problem":[39],"when":[40],"applying":[41],"however,":[44],"its":[46],"vulnerability":[47],"to":[48,59,75],"silhouette":[49,62],"variation.":[50],"this":[52],"paper,":[53],"we":[54],"propose":[55],"novel":[57],"approach":[58,91],"solving":[60],"viewpoint-induced":[61],"variation":[63],"by":[64],"introducing":[65],"biased":[66],"label":[67],"distances":[68],"manifolds":[71],"that":[72],"are":[73],"able":[74],"represent":[76],"variations":[77],"in":[78],"viewpoint,":[79],"pose,":[80],"configuration.":[84],"We":[85],"demonstrate":[86],"effectiveness":[88],"on":[92],"synthetic":[94],"real-world":[97],"dataset.":[98]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}