{"id":"https://openalex.org/W3083490419","doi":"https://doi.org/10.1109/access.2020.3021824","title":"Vision-Based Pose Optimization Using Learned Metrics","display_name":"Vision-Based Pose Optimization Using Learned Metrics","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3083490419","doi":"https://doi.org/10.1109/access.2020.3021824","mag":"3083490419"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3021824","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3021824","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09186659.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09186659.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100737906","display_name":"Shaopeng Li","orcid":"https://orcid.org/0000-0001-7560-9951"},"institutions":[{"id":"https://openalex.org/I4210130660","display_name":"Xi'an High Tech University","ror":"https://ror.org/03vt7za95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210130660"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shaopeng Li","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China","High-Tech Institute of Xi\u2019an, Xi\u2019an, China"],"raw_orcid":"https://orcid.org/0000-0001-7560-9951","affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"High-Tech Institute of Xi\u2019an, Xi\u2019an, China","institution_ids":["https://openalex.org/I4210130660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100705548","display_name":"Yong Xian","orcid":"https://orcid.org/0000-0001-8863-6422"},"institutions":[{"id":"https://openalex.org/I4210130660","display_name":"Xi'an High Tech University","ror":"https://ror.org/03vt7za95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210130660"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Xian","raw_affiliation_strings":["High-Tech Institute of Xi\u2019an, Xi\u2019an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"High-Tech Institute of Xi\u2019an, Xi\u2019an, China","institution_ids":["https://openalex.org/I4210130660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100375792","display_name":"Tao Zhang","orcid":"https://orcid.org/0000-0002-2980-6281"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Zhang","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009515302","display_name":"Bangjie Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210130660","display_name":"Xi'an High Tech University","ror":"https://ror.org/03vt7za95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210130660"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bangjie Li","raw_affiliation_strings":["High-Tech Institute of Xi\u2019an, Xi\u2019an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"High-Tech Institute of Xi\u2019an, Xi\u2019an, China","institution_ids":["https://openalex.org/I4210130660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064350944","display_name":"Daqiao Zhang","orcid":"https://orcid.org/0000-0001-8452-7894"},"institutions":[{"id":"https://openalex.org/I4210130660","display_name":"Xi'an High Tech University","ror":"https://ror.org/03vt7za95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210130660"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daqiao Zhang","raw_affiliation_strings":["High-Tech Institute of Xi\u2019an, Xi\u2019an, China"],"raw_orcid":"https://orcid.org/0000-0001-8452-7894","affiliations":[{"raw_affiliation_string":"High-Tech Institute of Xi\u2019an, Xi\u2019an, China","institution_ids":["https://openalex.org/I4210130660"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027406374","display_name":"Weilin Guo","orcid":"https://orcid.org/0000-0003-0405-2986"},"institutions":[{"id":"https://openalex.org/I4210130660","display_name":"Xi'an High Tech University","ror":"https://ror.org/03vt7za95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210130660"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weilin Guo","raw_affiliation_strings":["High-Tech Institute of Xi\u2019an, Xi\u2019an, China"],"raw_orcid":"https://orcid.org/0000-0003-0405-2986","affiliations":[{"raw_affiliation_string":"High-Tech Institute of Xi\u2019an, Xi\u2019an, China","institution_ids":["https://openalex.org/I4210130660"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100737906"],"corresponding_institution_ids":["https://openalex.org/I4210130660","https://openalex.org/I99065089"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.629,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.92587057,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"8","issue":null,"first_page":"164313","last_page":"164324"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":1.0,"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":1.0,"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":0.9995999932289124,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980999827384949,"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/computer-science","display_name":"Computer science","score":0.7480016946792603},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5915824770927429},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5025670528411865},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.4149414598941803},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3227052092552185}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7480016946792603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5915824770927429},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5025670528411865},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.4149414598941803},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3227052092552185}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3021824","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3021824","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09186659.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f4d172d8ca22444b922398a3f2bab550","is_oa":true,"landing_page_url":"https://doaj.org/article/f4d172d8ca22444b922398a3f2bab550","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 164313-164324 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3021824","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3021824","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09186659.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5099999904632568,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3083490419.pdf","grobid_xml":"https://content.openalex.org/works/W3083490419.grobid-xml"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W181228974","https://openalex.org/W612478963","https://openalex.org/W1929856797","https://openalex.org/W1963782270","https://openalex.org/W1968957635","https://openalex.org/W1970504153","https://openalex.org/W2021851106","https://openalex.org/W2059898159","https://openalex.org/W2083886415","https://openalex.org/W2104853049","https://openalex.org/W2108598243","https://openalex.org/W2117228865","https://openalex.org/W2119605622","https://openalex.org/W2143769815","https://openalex.org/W2144041313","https://openalex.org/W2151103935","https://openalex.org/W2153054365","https://openalex.org/W2162881463","https://openalex.org/W2194775991","https://openalex.org/W2200124539","https://openalex.org/W2220063164","https://openalex.org/W2395018015","https://openalex.org/W2471962767","https://openalex.org/W2474281075","https://openalex.org/W2561074213","https://openalex.org/W2592936284","https://openalex.org/W2598706937","https://openalex.org/W2605111497","https://openalex.org/W2606611007","https://openalex.org/W2606794968","https://openalex.org/W2608018946","https://openalex.org/W2609883120","https://openalex.org/W2737630486","https://openalex.org/W2744046247","https://openalex.org/W2751297520","https://openalex.org/W2767463438","https://openalex.org/W2892865870","https://openalex.org/W2897245062","https://openalex.org/W2903355354","https://openalex.org/W2904816510","https://openalex.org/W2905505753","https://openalex.org/W2949115101","https://openalex.org/W2963583471","https://openalex.org/W2963988212","https://openalex.org/W2964314455","https://openalex.org/W3091671442","https://openalex.org/W3098315580","https://openalex.org/W3106440972","https://openalex.org/W4210880854","https://openalex.org/W6618872416","https://openalex.org/W6640083356","https://openalex.org/W6736260464","https://openalex.org/W6754961012","https://openalex.org/W6757319868","https://openalex.org/W6763530150","https://openalex.org/W6768817021"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Camera":[0],"pose":[1,21,99],"optimization":[2,22,33,100],"is":[3,28,63],"the":[4,32,44,55,66,72,89,97],"basis":[5],"of":[6,58,69,88,96],"geometric":[7],"vision":[8],"works,":[9],"such":[10],"as":[11],"3D":[12],"reconstruction,":[13],"structure":[14],"from":[15],"motion,":[16],"and":[17,40,53,71,86,94,104],"visual":[18],"odometry.":[19],"A":[20],"method":[23],"based":[24,42],"on":[25,43],"learned":[26],"metrics":[27],"proposed":[29,98],"to":[30,75],"improve":[31],"convexity.":[34],"The":[35,48,82,92],"neural":[36],"network":[37,49],"was":[38],"designed":[39,90],"trained":[41],"collected":[45],"datasets,":[46],"respectively.":[47],"inputs":[50],"pairwise":[51],"patches":[52],"outputs":[54],"Euclidean":[56],"distance":[57,62,77],"its":[59],"center.":[60],"This":[61],"involved":[64],"in":[65],"residual":[67],"calculation":[68],"Gauss-Newton,":[70],"Jacobian":[73],"corresponding":[74],"this":[76],"can":[78],"be":[79],"analytically":[80],"solved.":[81],"simulation":[83],"verified":[84],"convergence":[85],"generalization":[87],"network.":[91],"accuracy":[93],"robustness":[95],"compared":[101],"with":[102],"intensity-":[103],"feature-based":[105],"optimizations":[106],"are":[107],"also":[108],"verified.":[109]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}