{"id":"https://openalex.org/W4406610391","doi":"https://doi.org/10.1109/access.2025.3531896","title":"Camera Absolute Pose Estimation Using Hierarchical Attention in Multi-Scene","display_name":"Camera Absolute Pose Estimation Using Hierarchical Attention in Multi-Scene","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406610391","doi":"https://doi.org/10.1109/access.2025.3531896"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3531896","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3531896","pdf_url":null,"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":null,"license_id":null,"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://doi.org/10.1109/access.2025.3531896","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061726247","display_name":"Xinhua Lu","orcid":"https://orcid.org/0000-0002-2338-7020"},"institutions":[{"id":"https://openalex.org/I4210115515","display_name":"Nanyang Institute of Technology","ror":"https://ror.org/0203c2755","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210115515"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinhua Lu","raw_affiliation_strings":["Electronic Information Institute, Nanyang Institute of Technology, Nanyang, China"],"raw_orcid":"https://orcid.org/0000-0002-2338-7020","affiliations":[{"raw_affiliation_string":"Electronic Information Institute, Nanyang Institute of Technology, Nanyang, China","institution_ids":["https://openalex.org/I4210115515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109695049","display_name":"Jingui Miao","orcid":null},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingui Miao","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0009-0004-0506-9063","affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101778215","display_name":"Qingji Xue","orcid":"https://orcid.org/0009-0002-7889-1694"},"institutions":[{"id":"https://openalex.org/I4210115515","display_name":"Nanyang Institute of Technology","ror":"https://ror.org/0203c2755","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210115515"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingji Xue","raw_affiliation_strings":["Electronic Information Institute, Nanyang Institute of Technology, Nanyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic Information Institute, Nanyang Institute of Technology, Nanyang, China","institution_ids":["https://openalex.org/I4210115515"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hui Wan","orcid":"https://orcid.org/0009-0001-3823-6399"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Wan","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0009-0001-3823-6399","affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"last","author":{"id":null,"display_name":"Hao Zhang","orcid":"https://orcid.org/0009-0002-2784-1355"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Zhang","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0009-0002-2784-1355","affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.5311,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.80071082,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"13","issue":null,"first_page":"19624","last_page":"19634"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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":0.9995999932289124,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9988999962806702,"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":0.7713505625724792},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.7560250759124756},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7341561317443848},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7050001621246338},{"id":"https://openalex.org/keywords/absolute","display_name":"Absolute (philosophy)","score":0.44201427698135376},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4389503002166748},{"id":"https://openalex.org/keywords/3d-pose-estimation","display_name":"3D pose estimation","score":0.43728533387184143},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3745965361595154},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06668773293495178}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7713505625724792},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.7560250759124756},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7341561317443848},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7050001621246338},{"id":"https://openalex.org/C2777487392","wikidata":"https://www.wikidata.org/wiki/Q481201","display_name":"Absolute (philosophy)","level":2,"score":0.44201427698135376},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4389503002166748},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.43728533387184143},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3745965361595154},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06668773293495178},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3531896","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3531896","pdf_url":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b340b16eb1044fa888bf0f1f6c023cb7","is_oa":true,"landing_page_url":"https://doaj.org/article/b340b16eb1044fa888bf0f1f6c023cb7","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 13, Pp 19624-19634 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3531896","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3531896","pdf_url":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G687785764","display_name":null,"funder_award_id":"222300420504","funder_id":"https://openalex.org/F4320323845","funder_display_name":"Natural Science Foundation of Henan Province"}],"funders":[{"id":"https://openalex.org/F4320323845","display_name":"Natural Science Foundation of Henan Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W2042819305","https://openalex.org/W2200124539","https://openalex.org/W2556455135","https://openalex.org/W2584731199","https://openalex.org/W2605111497","https://openalex.org/W2791390041","https://openalex.org/W2795645133","https://openalex.org/W2892865870","https://openalex.org/W2962705366","https://openalex.org/W2964175348","https://openalex.org/W2983230029","https://openalex.org/W2997032998","https://openalex.org/W3010479006","https://openalex.org/W3035182575","https://openalex.org/W3096609285","https://openalex.org/W3138197200","https://openalex.org/W3138516171","https://openalex.org/W3141835154","https://openalex.org/W3142837074","https://openalex.org/W3161415268","https://openalex.org/W3174091675","https://openalex.org/W4214614183","https://openalex.org/W4312848448","https://openalex.org/W4313656727","https://openalex.org/W4360838298","https://openalex.org/W4386311109","https://openalex.org/W4394963135","https://openalex.org/W6754927042","https://openalex.org/W6762718338","https://openalex.org/W6768848310"],"related_works":["https://openalex.org/W4253893311","https://openalex.org/W3089306886","https://openalex.org/W2113785214","https://openalex.org/W3201205132","https://openalex.org/W2798721181","https://openalex.org/W4387967917","https://openalex.org/W4312694060","https://openalex.org/W4386075737","https://openalex.org/W4382141741","https://openalex.org/W2951583186"],"abstract_inverted_index":{"The":[0],"multi-scene":[1,40,178],"camera":[2,10,96,180],"pose":[3,11,97,181],"estimation":[4],"approach":[5,140],"aims":[6],"to":[7,17,24,34,68,92,152],"recover":[8],"the":[9,18,28,69,94,99,119,145,153],"from":[12,90],"any":[13],"given":[14],"scene,":[15],"catering":[16],"demands":[19],"of":[20,58,135],"real-life":[21],"mobile":[22],"devices":[23],"perform":[25],"tasks.":[26],"Facing":[27],"challenge":[29],"that":[30,121],"it":[31,74,117],"is":[32,65],"difficult":[33],"extract":[35],"efficient":[36],"features":[37],"in":[38,164,171,177],"training":[39],"models,":[41],"we":[42],"present":[43],"a":[44,161,168],"modified":[45],"model":[46],"named":[47],"Hierarchical":[48,62],"Attention":[49],"Absolute":[50],"Pose":[51],"Regression(H-AttnAPR)":[52],"which":[53],"can":[54],"obtain":[55],"different":[56],"scales":[57],"feature":[59,114,127,137],"dependencies.":[60,138],"A":[61],"Attention(HA)":[63],"module":[64],"introduced":[66],"prior":[67],"scene":[70],"classification":[71],"module,":[72],"where":[73],"captures":[75],"both":[76,84],"intra-":[77],"and":[78,86,147,167],"inter-correlations":[79],"among":[80],"image":[81,136],"patches,":[82],"utilizing":[83],"local":[85,133],"global":[87,109],"key":[88],"information":[89],"images":[91,130],"restore":[93],"absolute":[95,179],"without":[98,111],"need":[100],"for":[101],"additional":[102],"point":[103],"cloud":[104],"data.":[105],"H-AttnAPR":[106],"efficiently":[107],"models":[108],"dependencies":[110,128],"compromising":[112],"fine-grained":[113],"information.":[115],"Therefore,":[116],"overcomes":[118],"limitations":[120],"solely":[122],"focus":[123],"on":[124,144],"long-range":[125],"pixel-level":[126],"within":[129],"while":[131],"neglecting":[132],"patches":[134],"Our":[139],"has":[141,159],"been":[142],"validated":[143],"7Scenes":[146],"Cambridge":[148],"benchmark":[149],"datasets.":[150],"Compared":[151],"baseline":[154],"algorithm":[155,158],"PoseNet,":[156],"our":[157],"achieved":[160],"41.1%":[162],"reduction":[163],"translation":[165],"error":[166],"61.1%":[169],"decrease":[170],"rotation":[172],"error,":[173],"demonstrating":[174],"superior":[175],"performance":[176],"regression.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
