{"id":"https://openalex.org/W7163133430","doi":"https://doi.org/10.1109/tip.2026.3697650","title":"Orientation-Guided Homography for Fine-Grained Cross-View Localization","display_name":"Orientation-Guided Homography for Fine-Grained Cross-View Localization","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7163133430","doi":"https://doi.org/10.1109/tip.2026.3697650","pmid":"https://pubmed.ncbi.nlm.nih.gov/42228659"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2026.3697650","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2026.3697650","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5038117283","display_name":"Yangchun Zhang","orcid":"https://orcid.org/0000-0002-0540-9070"},"institutions":[{"id":"https://openalex.org/I4210121405","display_name":"Centre for Artificial Intelligence and Robotics","ror":"https://ror.org/01xnbq218","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1340206300","https://openalex.org/I4210121405","https://openalex.org/I4210150591"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Yangchun Zhang","raw_affiliation_strings":["School of Artificial Intelligence and Robotics, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0009-0000-4568-5435","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Robotics, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I4210121405"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057514965","display_name":"Xudong Kang","orcid":"https://orcid.org/0000-0002-3807-2531"},"institutions":[{"id":"https://openalex.org/I4210121405","display_name":"Centre for Artificial Intelligence and Robotics","ror":"https://ror.org/01xnbq218","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1340206300","https://openalex.org/I4210121405","https://openalex.org/I4210150591"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Xudong Kang","raw_affiliation_strings":["School of Artificial Intelligence and Robotics, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-3807-2531","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Robotics, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I4210121405"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011401698","display_name":"Puhong Duan","orcid":"https://orcid.org/0000-0001-5066-4399"},"institutions":[{"id":"https://openalex.org/I4210121405","display_name":"Centre for Artificial Intelligence and Robotics","ror":"https://ror.org/01xnbq218","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1340206300","https://openalex.org/I4210121405","https://openalex.org/I4210150591"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Puhong Duan","raw_affiliation_strings":["School of Artificial Intelligence and Robotics, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-5066-4399","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Robotics, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I4210121405"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137662746","display_name":"Shutao Li","orcid":"https://orcid.org/0000-0002-0585-9848"},"institutions":[{"id":"https://openalex.org/I4210121405","display_name":"Centre for Artificial Intelligence and Robotics","ror":"https://ror.org/01xnbq218","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1340206300","https://openalex.org/I4210121405","https://openalex.org/I4210150591"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shutao Li","raw_affiliation_strings":["School of Artificial Intelligence and Robotics, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-0585-9848","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Robotics, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I4210121405"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101514854","display_name":"Song Ze","orcid":"https://orcid.org/0000-0002-6585-765X"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ze Song","raw_affiliation_strings":["AI Application Development Department, Huawei Technologies Company Ltd., Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-6585-765X","affiliations":[{"raw_affiliation_string":"AI Application Development Department, Huawei Technologies Company Ltd., Wuhan, China","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.84543895,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":null,"first_page":"6139","last_page":"6152"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.3125,"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":0.3125,"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":0.30410000681877136,"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/T10888","display_name":"Augmented Reality Applications","score":0.05900000035762787,"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/image-segmentation","display_name":"Image segmentation","score":0.40290001034736633},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4002000093460083},{"id":"https://openalex.org/keywords/homography","display_name":"Homography","score":0.36399999260902405},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32089999318122864},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.31709998846054077},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.29249998927116394}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6334999799728394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6068000197410583},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46799999475479126},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.40290001034736633},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4002000093460083},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3765000104904175},{"id":"https://openalex.org/C28751775","wikidata":"https://www.wikidata.org/wiki/Q2112539","display_name":"Homography","level":4,"score":0.36399999260902405},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32089999318122864},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.31709998846054077},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.29249998927116394},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.28700000047683716},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.28459998965263367},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.2773999869823456},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.27709999680519104},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2676999866962433},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.257999986410141}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2026.3697650","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2026.3697650","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:42228659","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42228659","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.5168837308883667}],"awards":[{"id":"https://openalex.org/G2695236858","display_name":null,"funder_award_id":"62525108","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3579516633","display_name":null,"funder_award_id":"2021YFA0715203","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5921931442","display_name":null,"funder_award_id":"62371185","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7567228158","display_name":null,"funder_award_id":"2021 YFA0715203","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8759851568","display_name":null,"funder_award_id":"62201207","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Cross-view":[0],"localization":[1,59,148,164],"aims":[2],"to":[3,70,91,183],"estimate":[4,114],"the":[5,116,131],"precise":[6],"position":[7],"and":[8,32,99,152,160,198,202],"orientation":[9,29,48,74,154],"of":[10],"a":[11,44,56,86,105,111,123,187,193],"ground-view":[12],"image":[13],"by":[14,150,156,166],"aligning":[15],"it":[16,145],"with":[17,95,171],"satellite":[18],"imagery.":[19],"However,":[20],"existing":[21],"homography-based":[22],"methods":[23],"are":[24],"typically":[25],"evaluated":[26],"under":[27],"limited":[28,34],"noise":[30],"(\u00b145\u00b0)":[31],"exhibit":[33],"refinement":[35,41],"capability,":[36],"as":[37],"their":[38],"local":[39],"correlation-based":[40],"relies":[42],"on":[43,62,158,168,186],"reasonably":[45],"good":[46],"initial":[47,73],"estimate.":[49],"To":[50],"address":[51],"these":[52],"limitations,":[53],"we":[54,83,103,121],"propose":[55],"fine-grained":[57],"cross-view":[58],"method":[60],"based":[61],"orientation-guided":[63],"homography":[64,80,126],"(OGH-Net),":[65],"whose":[66],"core":[67],"idea":[68],"is":[69],"predict":[71],"an":[72],"prior":[75],"that":[76,109,128],"explicitly":[77],"guides":[78],"subsequent":[79],"refinement.":[81],"Specifically,":[82],"first":[84],"design":[85],"hybrid":[87],"bird's-eye-view":[88],"(BEV)":[89],"transformation":[90],"generate":[92],"BEV":[93],"images":[94],"preserved":[96],"central":[97],"geometry":[98],"expanded":[100],"coverage.":[101],"Then,":[102],"introduce":[104],"lightweight":[106],"orientation-prior":[107],"module":[108,127],"provides":[110],"coarse":[112],"yaw":[113],"across":[115,137],"full":[117],"\u00b1180\u00b0":[118],"range.":[119],"Finally,":[120],"develop":[122],"multiscale":[124],"iterative":[125],"progressively":[129],"refines":[130],"projection":[132],"matrix":[133],"through":[134],"hierarchical":[135],"iterations":[136],"multiple":[138],"feature":[139],"resolutions.":[140],"Under":[141],"cross-area,":[142],"unknown-orientation":[143],"conditions,":[144],"reduces":[146,162],"mean":[147,153,163],"error":[149,155,165],"11%":[151],"27%":[157,167],"VIGOR,":[159],"further":[161],"KITTI":[169],"compared":[170],"previous":[172],"state-of-the-art":[173],"methods.":[174],"Moreover,":[175],"OGH-Net":[176],"runs":[177],"in":[178],"real":[179],"time":[180],"at":[181,208],"up":[182],"107":[184],"FPS":[185],"single":[188],"RTX":[189],"3090":[190],"GPU,":[191],"offering":[192],"favorable":[194],"trade-off":[195],"between":[196],"accuracy":[197],"efficiency.":[199],"The":[200],"code":[201],"trained":[203],"models":[204],"will":[205],"be":[206],"released":[207],"https://github.com/YC-Zhang2025/OGH-Net.":[209]},"counts_by_year":[],"updated_date":"2026-06-20T20:08:15.867695","created_date":"2026-06-03T00:00:00"}
