{"id":"https://openalex.org/W2128938444","doi":"https://doi.org/10.1109/icip.2007.4379799","title":"Closed Form Monocular Re-Projective Pose Estimation","display_name":"Closed Form Monocular Re-Projective Pose Estimation","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2128938444","doi":"https://doi.org/10.1109/icip.2007.4379799","mag":"2128938444"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2007.4379799","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4379799","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Image Processing","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/A5082299625","display_name":"Georg Pisinger","orcid":null},"institutions":[{"id":"https://openalex.org/I186354981","display_name":"University of Passau","ror":"https://ror.org/05ydjnb78","country_code":"DE","type":"education","lineage":["https://openalex.org/I186354981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"G. Pisinger","raw_affiliation_strings":["University of Passau, Passau, Germany","Passau Univ., Passau"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Passau, Passau, Germany","institution_ids":["https://openalex.org/I186354981"]},{"raw_affiliation_string":"Passau Univ., Passau","institution_ids":["https://openalex.org/I186354981"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045860970","display_name":"Tobias Hanning","orcid":null},"institutions":[{"id":"https://openalex.org/I186354981","display_name":"University of Passau","ror":"https://ror.org/05ydjnb78","country_code":"DE","type":"education","lineage":["https://openalex.org/I186354981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"T. Hanning","raw_affiliation_strings":["University of Passau, Passau, Germany","Passau Univ., Passau"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Passau, Passau, Germany","institution_ids":["https://openalex.org/I186354981"]},{"raw_affiliation_string":"Passau Univ., Passau","institution_ids":["https://openalex.org/I186354981"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I186354981"],"apc_list":null,"apc_paid":null,"fwci":0.2628,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.48049975,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"V ","last_page":" 197"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","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/T10638","display_name":"Optical measurement and interference techniques","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":0.9998000264167786,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9994999766349792,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.7911128997802734},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6392943859100342},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6391083002090454},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.61602783203125},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.5999025106430054},{"id":"https://openalex.org/keywords/3d-pose-estimation","display_name":"3D pose estimation","score":0.5949560403823853},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5521959066390991},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.5417183041572571},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5272685289382935},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5269875526428223},{"id":"https://openalex.org/keywords/articulated-body-pose-estimation","display_name":"Articulated body pose estimation","score":0.4811743199825287},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.47896674275398254},{"id":"https://openalex.org/keywords/euclidean-geometry","display_name":"Euclidean geometry","score":0.4723673462867737},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.4283008873462677},{"id":"https://openalex.org/keywords/scale-factor","display_name":"Scale factor (cosmology)","score":0.42293331027030945},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33886873722076416},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09677797555923462}],"concepts":[{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.7911128997802734},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6392943859100342},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6391083002090454},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.61602783203125},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.5999025106430054},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.5949560403823853},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5521959066390991},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.5417183041572571},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5272685289382935},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5269875526428223},{"id":"https://openalex.org/C22100474","wikidata":"https://www.wikidata.org/wiki/Q4800952","display_name":"Articulated body pose estimation","level":4,"score":0.4811743199825287},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.47896674275398254},{"id":"https://openalex.org/C129782007","wikidata":"https://www.wikidata.org/wiki/Q162886","display_name":"Euclidean geometry","level":2,"score":0.4723673462867737},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.4283008873462677},{"id":"https://openalex.org/C144386022","wikidata":"https://www.wikidata.org/wiki/Q1332997","display_name":"Scale factor (cosmology)","level":5,"score":0.42293331027030945},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33886873722076416},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09677797555923462},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C172790937","wikidata":"https://www.wikidata.org/wiki/Q18343","display_name":"Dark energy","level":3,"score":0.0},{"id":"https://openalex.org/C20154449","wikidata":"https://www.wikidata.org/wiki/Q1129469","display_name":"Metric expansion of space","level":4,"score":0.0},{"id":"https://openalex.org/C26405456","wikidata":"https://www.wikidata.org/wiki/Q338","display_name":"Cosmology","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2007.4379799","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4379799","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2049066272","https://openalex.org/W2145798688","https://openalex.org/W2167667767","https://openalex.org/W2798909945","https://openalex.org/W6684260058"],"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/W4394784820"],"abstract_inverted_index":{"In":[0],"this":[1],"article":[2],"we":[3,29,36,126],"introduce":[4],"a":[5,21,58,75,80,108],"closed":[6,87],"form":[7,88],"estimation":[8],"of":[9,42,74,101,130],"the":[10,31,39,43,47,52,70,96,102,128,131,135,139],"pose":[11,71,97,133],"determination":[12],"problem.":[13],"Unlike":[14],"most":[15],"other":[16],"approaches":[17,85],"our":[18,63],"method":[19,104],"minimizes":[20],"Euclidean":[22],"error":[23,129],"to":[24,57,65,68,134],"re-projected":[25],"image":[26,94],"points.":[27],"If":[28,46],"know":[30],"distances":[32],"between":[33],"these":[34],"point":[35],"can":[37],"reconstruct":[38],"3D":[40],"position":[41],"points":[44],"completely.":[45],"exact":[48],"distance":[49],"is":[50,54,105],"unknown":[51],"reconstruction":[53],"correct":[55],"up":[56],"scale":[59],"factor.":[60],"We":[61],"compare":[62,127],"approach":[64],"several":[66],"methods":[67],"estimate":[69],"and":[72,90],"orientation":[73],"planar":[76],"pattern":[77],"observed":[78],"by":[79],"calibrated":[81],"camera.":[82],"All":[83],"compared":[84],"are":[86],"solutions":[89,121],"take":[91],"only":[92,107],"one":[93],"for":[95,112,119,138],"estimation.":[98],"The":[99],"gain":[100],"proposed":[103],"not":[106],"better":[109],"starting":[110],"value":[111],"non-linear":[113],"optimizations":[114],"but":[115],"also":[116],"its":[117],"applicability":[118],"mobile":[120],"on":[122],"constrained":[123],"hardware.":[124],"Therefore,":[125],"estimated":[132],"ground":[136],"truth":[137],"investigated":[140],"methods.":[141]},"counts_by_year":[{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}