{"id":"https://openalex.org/W2968893478","doi":"https://doi.org/10.5220/0007933105410549","title":"Hybrid 6D Object Pose Estimation from the RGB Image","display_name":"Hybrid 6D Object Pose Estimation from the RGB Image","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2968893478","doi":"https://doi.org/10.5220/0007933105410549","mag":"2968893478"},"language":"en","primary_location":{"id":"doi:10.5220/0007933105410549","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0007933105410549","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0007933105410549","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090443600","display_name":"Rafa\u0142 Staszak","orcid":"https://orcid.org/0000-0002-5235-4201"},"institutions":[{"id":"https://openalex.org/I46597724","display_name":"Pozna\u0144 University of Technology","ror":"https://ror.org/00p7p3302","country_code":"PL","type":"education","lineage":["https://openalex.org/I46597724"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Rafal Staszak","raw_affiliation_strings":["Institute of Control, Robotics and Information Engineering, Poznan University of Technology, Poznan and Poland, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Control, Robotics and Information Engineering, Poznan University of Technology, Poznan and Poland, --- Select a Country ---","institution_ids":["https://openalex.org/I46597724"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065531863","display_name":"Dominik Belter","orcid":"https://orcid.org/0000-0003-3002-9747"},"institutions":[{"id":"https://openalex.org/I46597724","display_name":"Pozna\u0144 University of Technology","ror":"https://ror.org/00p7p3302","country_code":"PL","type":"education","lineage":["https://openalex.org/I46597724"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Dominik Belter","raw_affiliation_strings":["Institute of Control, Robotics and Information Engineering, Poznan University of Technology, Poznan and Poland, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Control, Robotics and Information Engineering, Poznan University of Technology, Poznan and Poland, --- Select a Country ---","institution_ids":["https://openalex.org/I46597724"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I46597724"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"541","last_page":"549"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9954000115394592,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9954000115394592,"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":0.9944999814033508,"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":0.9939000010490417,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.78003990650177},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7797127962112427},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.6874800324440002},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.667944073677063},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5432835817337036},{"id":"https://openalex.org/keywords/3d-pose-estimation","display_name":"3D pose estimation","score":0.5039140582084656},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4983329772949219},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4208770990371704}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.78003990650177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7797127962112427},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.6874800324440002},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.667944073677063},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5432835817337036},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.5039140582084656},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4983329772949219},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4208770990371704}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0007933105410549","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0007933105410549","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0007933105410549","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0007933105410549","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4253893311","https://openalex.org/W2798721181","https://openalex.org/W3201205132","https://openalex.org/W4287600488","https://openalex.org/W4312694060","https://openalex.org/W4281696776","https://openalex.org/W4318148659","https://openalex.org/W4387967917","https://openalex.org/W4299867837","https://openalex.org/W2951583186"],"abstract_inverted_index":{"In":[0,17],"this":[1],"research,":[2],"we":[3,34,69,90,122],"focus":[4],"on":[5,28,49,73,125],"the":[6,14,22,29,47,50,53,56,60,66,74,77,82,92,96,108,119,126,130],"6D":[7,84],"pose":[8],"estimation":[9,94],"of":[10,21,55,65,95,118],"known":[11],"objects":[12],"from":[13,129],"RGB":[15],"image.":[16],"contrast":[18],"to":[19,80,112],"state":[20],"art":[23],"methods,":[24],"which":[25],"are":[26],"based":[27],"end-to-end":[30],"neural":[31,43,104,110],"network":[32,111],"training,":[33],"proposed":[35],"a":[36,88,103],"hybrid":[37],"approach.":[38],"We":[39,106],"use":[40,70],"separate":[41],"deep":[42],"networks":[44],"to:":[45],"detect":[46],"object":[48,85,97],"image,":[51],"estimate":[52,59,113],"center":[54],"object,":[57],"and":[58,62,76,115,133],"translation":[61,114],"\u201din-place\u201d":[63,116],"rotation":[64,117],"object.":[67,120],"Then,":[68],"geometrical":[71],"relations":[72],"image":[75],"camera":[78],"model":[79],"recover":[81],"full":[83],"pose.":[86],"As":[87],"result,":[89],"avoid":[91],"direct":[93],"orientation":[98],"defined":[99],"in":[100],"SO3":[101],"using":[102],"network.":[105],"propose":[107],"4D-NET":[109],"Finally,":[121],"show":[123],"results":[124],"images":[127],"generated":[128],"Pascal":[131],"VOC":[132],"ShapeNet":[134],"datasets.":[135]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
