{"id":"https://openalex.org/W4311841579","doi":"https://doi.org/10.1109/iros47612.2022.9981161","title":"Level Set-Based Camera Pose Estimation From Multiple 2D/3D Ellipse-Ellipsoid Correspondences","display_name":"Level Set-Based Camera Pose Estimation From Multiple 2D/3D Ellipse-Ellipsoid Correspondences","publication_year":2022,"publication_date":"2022-10-23","ids":{"openalex":"https://openalex.org/W4311841579","doi":"https://doi.org/10.1109/iros47612.2022.9981161"},"language":"en","primary_location":{"id":"doi:10.1109/iros47612.2022.9981161","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros47612.2022.9981161","pdf_url":null,"source":{"id":"https://openalex.org/S4363607704","display_name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5028090022","display_name":"Matthieu Zins","orcid":"https://orcid.org/0000-0001-6238-4271"},"institutions":[{"id":"https://openalex.org/I4210121838","display_name":"Laboratoire Lorrain de Recherche en Informatique et ses Applications","ror":"https://ror.org/02vnf0c38","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I277688954","https://openalex.org/I4210107720","https://openalex.org/I4210121838","https://openalex.org/I4210159245","https://openalex.org/I90183372"]},{"id":"https://openalex.org/I90183372","display_name":"Universit\u00e9 de Lorraine","ror":"https://ror.org/04vfs2w97","country_code":"FR","type":"education","lineage":["https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Matthieu Zins","raw_affiliation_strings":["Universit&#x00E9; de Lorraine,LORIA,CNRS"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit&#x00E9; de Lorraine,LORIA,CNRS","institution_ids":["https://openalex.org/I4210121838","https://openalex.org/I90183372"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002741098","display_name":"Gilles Simon","orcid":"https://orcid.org/0000-0002-5909-6524"},"institutions":[{"id":"https://openalex.org/I4210121838","display_name":"Laboratoire Lorrain de Recherche en Informatique et ses Applications","ror":"https://ror.org/02vnf0c38","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I277688954","https://openalex.org/I4210107720","https://openalex.org/I4210121838","https://openalex.org/I4210159245","https://openalex.org/I90183372"]},{"id":"https://openalex.org/I90183372","display_name":"Universit\u00e9 de Lorraine","ror":"https://ror.org/04vfs2w97","country_code":"FR","type":"education","lineage":["https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gilles Simon","raw_affiliation_strings":["Universit&#x00E9; de Lorraine,LORIA,CNRS"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit&#x00E9; de Lorraine,LORIA,CNRS","institution_ids":["https://openalex.org/I4210121838","https://openalex.org/I90183372"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027151885","display_name":"Marie\u2010Odile Berger","orcid":"https://orcid.org/0000-0002-9371-1367"},"institutions":[{"id":"https://openalex.org/I4210121838","display_name":"Laboratoire Lorrain de Recherche en Informatique et ses Applications","ror":"https://ror.org/02vnf0c38","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I277688954","https://openalex.org/I4210107720","https://openalex.org/I4210121838","https://openalex.org/I4210159245","https://openalex.org/I90183372"]},{"id":"https://openalex.org/I90183372","display_name":"Universit\u00e9 de Lorraine","ror":"https://ror.org/04vfs2w97","country_code":"FR","type":"education","lineage":["https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Marie-Odile Berger","raw_affiliation_strings":["Universit&#x00E9; de Lorraine,LORIA,CNRS"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit&#x00E9; de Lorraine,LORIA,CNRS","institution_ids":["https://openalex.org/I4210121838","https://openalex.org/I90183372"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"939","last_page":"946"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9993000030517578,"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/ellipse","display_name":"Ellipse","score":0.9022420644760132},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.8178826570510864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7769216299057007},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7260500192642212},{"id":"https://openalex.org/keywords/ellipsoid","display_name":"Ellipsoid","score":0.6751742362976074},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6435461044311523},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6335811614990234},{"id":"https://openalex.org/keywords/3d-pose-estimation","display_name":"3D pose estimation","score":0.5610238909721375},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5201500058174133},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4679483473300934},{"id":"https://openalex.org/keywords/conic-section","display_name":"Conic section","score":0.44808992743492126},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.4453931450843811},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4388819634914398},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.43371349573135376},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3098863959312439},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30006271600723267},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18325069546699524},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09459221363067627}],"concepts":[{"id":"https://openalex.org/C74261601","wikidata":"https://www.wikidata.org/wiki/Q40112","display_name":"Ellipse","level":2,"score":0.9022420644760132},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.8178826570510864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7769216299057007},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7260500192642212},{"id":"https://openalex.org/C57489055","wikidata":"https://www.wikidata.org/wiki/Q190046","display_name":"Ellipsoid","level":2,"score":0.6751742362976074},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6435461044311523},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6335811614990234},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.5610238909721375},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5201500058174133},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4679483473300934},{"id":"https://openalex.org/C108598597","wikidata":"https://www.wikidata.org/wiki/Q124255","display_name":"Conic section","level":2,"score":0.44808992743492126},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.4453931450843811},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4388819634914398},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.43371349573135376},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3098863959312439},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30006271600723267},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18325069546699524},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09459221363067627},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros47612.2022.9981161","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros47612.2022.9981161","pdf_url":null,"source":{"id":"https://openalex.org/S4363607704","display_name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1593799789","https://openalex.org/W1861492603","https://openalex.org/W1989476314","https://openalex.org/W1991544872","https://openalex.org/W2042819305","https://openalex.org/W2097696373","https://openalex.org/W2200124539","https://openalex.org/W2317002898","https://openalex.org/W2340897893","https://openalex.org/W2465106705","https://openalex.org/W2584731199","https://openalex.org/W2610694266","https://openalex.org/W2739748921","https://openalex.org/W2779423082","https://openalex.org/W2803564000","https://openalex.org/W2811184430","https://openalex.org/W2886388988","https://openalex.org/W2887751724","https://openalex.org/W2938672559","https://openalex.org/W2948604360","https://openalex.org/W2962766617","https://openalex.org/W2963193200","https://openalex.org/W2963856988","https://openalex.org/W2982101479","https://openalex.org/W3018757597","https://openalex.org/W3034275286","https://openalex.org/W3035711539","https://openalex.org/W3039781398","https://openalex.org/W3043075211","https://openalex.org/W3092774272","https://openalex.org/W3098467253","https://openalex.org/W3102100346","https://openalex.org/W3110683067","https://openalex.org/W3119960215","https://openalex.org/W3120237453","https://openalex.org/W3126254937","https://openalex.org/W3164731060","https://openalex.org/W3166285241","https://openalex.org/W3176602998","https://openalex.org/W3209993199","https://openalex.org/W6741832134","https://openalex.org/W6751662687","https://openalex.org/W6765832762","https://openalex.org/W6777046832","https://openalex.org/W6786768871","https://openalex.org/W6788049236"],"related_works":["https://openalex.org/W2367703135","https://openalex.org/W2520821892","https://openalex.org/W2902604941","https://openalex.org/W2325628825","https://openalex.org/W1032920515","https://openalex.org/W4250038487","https://openalex.org/W3185542260","https://openalex.org/W1977262557","https://openalex.org/W2324703843","https://openalex.org/W4245060453"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,81],"propose":[4],"an":[5,55],"object-based":[6],"camera":[7],"pose":[8],"estimation":[9],"from":[10],"a":[11,16,35,42,46,87,95],"single":[12],"RGB":[13],"image":[14],"and":[15,72],"pre-built":[17],"map":[18],"of":[19,34,41,86,98,101],"objects,":[20],"represented":[21],"with":[22,76],"ellipsoidal":[23],"models.":[24],"We":[25,53],"show":[26,82],"that":[27,83],"contrary":[28],"to":[29],"point":[30],"correspondences,":[31],"the":[32,39,84,91,99,102,106],"definition":[33],"cost":[36,57],"function":[37],"characterizing":[38],"projection":[40],"3D":[43],"object":[44,48],"onto":[45],"2D":[47],"detection":[49],"is":[50,111],"not":[51],"straightforward.":[52],"develop":[54],"ellipse-ellipse":[56],"based":[58],"on":[59,90],"level":[60],"sets":[61],"sampling,":[62],"demonstrate":[63],"its":[64,74],"nice":[65],"properties":[66],"for":[67],"handling":[68],"partially":[69],"visible":[70],"objects":[71],"compare":[73],"performance":[75],"other":[77],"common":[78],"metrics.":[79],"Finally,":[80],"use":[85],"predictive":[88],"uncertainty":[89],"detected":[92],"ellipses":[93],"allows":[94],"fair":[96],"weighting":[97],"contribution":[100],"correspondences":[103],"which":[104],"improves":[105],"computed":[107],"pose.":[108],"The":[109],"code":[110],"released":[112],"at":[113],"gitlab.inria.fr/tangram/level-set-based-camera-pose-estimation.":[114]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
