{"id":"https://openalex.org/W2141970500","doi":"https://doi.org/10.1109/rose.2011.6058546","title":"Supervised pose and motion estimation over weakly textured industrial objects","display_name":"Supervised pose and motion estimation over weakly textured industrial objects","publication_year":2011,"publication_date":"2011-09-01","ids":{"openalex":"https://openalex.org/W2141970500","doi":"https://doi.org/10.1109/rose.2011.6058546","mag":"2141970500"},"language":"en","primary_location":{"id":"doi:10.1109/rose.2011.6058546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rose.2011.6058546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Symposium on Robotic and Sensors Environments (ROSE)","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/A5018705061","display_name":"Valentin Borsu","orcid":null},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Valentin Borsu","raw_affiliation_strings":["School of Information Technology and Engineering, University of Ottawa, Ottawa, ONT, Canada","School of Information Technology and Engineering, University of Ottawa, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology and Engineering, University of Ottawa, Ottawa, ONT, Canada","institution_ids":["https://openalex.org/I153718931"]},{"raw_affiliation_string":"School of Information Technology and Engineering, University of Ottawa, ON, Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064822721","display_name":"Pierre Payeur","orcid":"https://orcid.org/0000-0003-3103-9752"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Pierre Payeur","raw_affiliation_strings":["School of Information Technology and Engineering, University of Ottawa, Ottawa, ONT, Canada","School of Information Technology and Engineering, University of Ottawa, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology and Engineering, University of Ottawa, Ottawa, ONT, Canada","institution_ids":["https://openalex.org/I153718931"]},{"raw_affiliation_string":"School of Information Technology and Engineering, University of Ottawa, ON, Canada","institution_ids":["https://openalex.org/I153718931"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I153718931"],"apc_list":null,"apc_paid":null,"fwci":0.4756,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63602507,"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":"202","last_page":"207"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/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"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7760925889015198},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7606463432312012},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7465848922729492},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7102606296539307},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6372569799423218},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5913377404212952},{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.5696544051170349},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.5536775588989258},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.4764704704284668},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.438493549823761},{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.43369218707084656},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4232349991798401},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1810777485370636},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1764390766620636}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7760925889015198},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7606463432312012},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7465848922729492},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7102606296539307},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6372569799423218},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5913377404212952},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.5696544051170349},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.5536775588989258},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.4764704704284668},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.438493549823761},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.43369218707084656},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4232349991798401},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1810777485370636},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1764390766620636},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rose.2011.6058546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rose.2011.6058546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Symposium on Robotic and Sensors Environments (ROSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1521162839","https://openalex.org/W1987070372","https://openalex.org/W1999843357","https://openalex.org/W2053529813","https://openalex.org/W2095974850","https://openalex.org/W2099046646","https://openalex.org/W2111308925","https://openalex.org/W2118877769","https://openalex.org/W2130103520","https://openalex.org/W2146484478","https://openalex.org/W2151103935","https://openalex.org/W2155479981","https://openalex.org/W2165384535","https://openalex.org/W3020339995","https://openalex.org/W3040777582","https://openalex.org/W3157685993","https://openalex.org/W6631024124","https://openalex.org/W6677548441","https://openalex.org/W6679388247","https://openalex.org/W6681931915","https://openalex.org/W6780413204"],"related_works":["https://openalex.org/W2387055199","https://openalex.org/W4382644535","https://openalex.org/W2313061941","https://openalex.org/W2588661485","https://openalex.org/W1953485902","https://openalex.org/W2522768275","https://openalex.org/W2352938035","https://openalex.org/W4388311650","https://openalex.org/W2351672553","https://openalex.org/W5922282"],"abstract_inverted_index":{"Visually":[0],"estimating":[1],"the":[2,26,55,87,97,108,112,127],"motion":[3,46],"of":[4,28,58,67,89,99,103,111],"automotive":[5,128],"body":[6],"parts":[7],"over":[8],"an":[9,90,121],"assembly":[10],"line":[11],"represents":[12],"a":[13,29,51,100,104],"major":[14],"challenge":[15],"for":[16,41,71,123],"classical":[17],"feature":[18,35,60],"detection,":[19],"matching":[20,38,63],"and":[21,37,45,62,69,82],"tracking":[22,75],"algorithms":[23],"due":[24],"to":[25],"lack":[27],"rich":[30],"surface":[31],"texture.":[32],"But":[33],"as":[34],"extraction":[36,61],"remain":[39],"vital":[40],"accurate":[42],"object":[43],"pose":[44],"estimation,":[47],"this":[48],"paper":[49],"presents":[50],"thorough":[52],"investigation":[53],"on":[54,96,120],"actual":[56],"reliability":[57],"popular":[59],"tools":[64],"in":[65,126],"terms":[66],"stability":[68],"robustness":[70],"industrial":[72],"applications.":[73],"Severe":[74],"errors":[76],"that":[77,94],"result":[78],"from":[79],"brightness":[80],"variations":[81],"occlusions":[83],"are":[84],"corrected":[85],"with":[86],"integration":[88],"original":[91],"supervisory":[92],"approach":[93],"relies":[95],"encoding":[98],"minimum":[101],"amount":[102],"priori":[105],"information":[106],"about":[107],"general":[109],"appearance":[110],"objects.":[113],"The":[114],"proposed":[115],"solution":[116],"is":[117],"experimentally":[118],"validated":[119],"application":[122],"quality":[124],"control":[125],"industry.":[129]},"counts_by_year":[{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}