{"id":"https://openalex.org/W4415987801","doi":"https://doi.org/10.1109/3dv69130.2026.00012","title":"Radially Distorted Homographies, Revisited","display_name":"Radially Distorted Homographies, Revisited","publication_year":2026,"publication_date":"2026-03-20","ids":{"openalex":"https://openalex.org/W4415987801","doi":"https://doi.org/10.1109/3dv69130.2026.00012"},"language":"en","primary_location":{"id":"doi:10.1109/3dv69130.2026.00012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dv69130.2026.00012","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on 3D Vision (3DV)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2508.21190","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052501521","display_name":"M\u00e5rten Wadenb\u00e4ck","orcid":"https://orcid.org/0000-0002-0675-2794"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M\u00e5rten Wadenb\u00e4ck","raw_affiliation_strings":["Link&#x00F6;ping University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Link&#x00F6;ping University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087387938","display_name":"Marcus Valtonen \u00d6rnhag","orcid":"https://orcid.org/0000-0001-8687-227X"},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Marcus Valtonen \u00d6rnhag","raw_affiliation_strings":["Ericsson Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ericsson Research","institution_ids":["https://openalex.org/I1306339040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056741172","display_name":"Johan Edstedt","orcid":"https://orcid.org/0000-0002-1019-8634"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Johan Edstedt","raw_affiliation_strings":["Link&#x00F6;ping University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Link&#x00F6;ping University","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"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":0.00839364,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"52","last_page":"62"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.6046000123023987,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.6046000123023987,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.22370000183582306,"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":0.025200000032782555,"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/homography","display_name":"Homography","score":0.7656999826431274},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.7490000128746033},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.3896999955177307},{"id":"https://openalex.org/keywords/lens","display_name":"Lens (geology)","score":0.3686999976634979},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35929998755455017}],"concepts":[{"id":"https://openalex.org/C28751775","wikidata":"https://www.wikidata.org/wiki/Q2112539","display_name":"Homography","level":4,"score":0.7656999826431274},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.7490000128746033},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6305999755859375},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5909000039100647},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4959000051021576},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40470001101493835},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.3896999955177307},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3880999982357025},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.3686999976634979},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35929998755455017},{"id":"https://openalex.org/C101586328","wikidata":"https://www.wikidata.org/wiki/Q899539","display_name":"Cross-ratio","level":2,"score":0.29739999771118164},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.26600000262260437},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.2531999945640564},{"id":"https://openalex.org/C110898773","wikidata":"https://www.wikidata.org/wiki/Q2933935","display_name":"Camera resectioning","level":2,"score":0.251800000667572}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/3dv69130.2026.00012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dv69130.2026.00012","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on 3D Vision (3DV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2508.21190","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.21190","pdf_url":"https://arxiv.org/pdf/2508.21190","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2508.21190","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2508.21190","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2508.21190","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.21190","pdf_url":"https://arxiv.org/pdf/2508.21190","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322327","display_name":"Knut och Alice Wallenbergs Stiftelse","ror":"https://ror.org/004hzzk67"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Homographies":[0],"are":[1,37,84,167,180],"among":[2],"the":[3,45,55,58,61,90,103,111,122,124,141,170,195],"most":[4],"prevalent":[5],"transformations":[6],"occurring":[7],"in":[8,23,95,102,110,121],"geometric":[9,41],"computer":[10,28],"vision":[11,29],"and":[12,15,57,106,130,152],"projective":[13],"geometry,":[14],"homography":[16,56,76],"estimation":[17],"is":[18,198],"consequently":[19],"a":[20,24,75,128],"crucial":[21],"step":[22],"wide":[25],"assortment":[26],"of":[27,194,203],"tasks.":[30],"When":[31,73],"working":[32],"with":[33,40,77,188],"real":[34],"images,":[35,82,105],"which":[36],"often":[38],"afflicted":[39],"distortions":[42],"caused":[43],"by":[44],"camera":[46],"lens,":[47],"it":[48],"may":[49],"be":[50,145],"necessary":[51],"to":[52,67,133,147],"determine":[53],"both":[54],"lens":[59],"distortion-particularly":[60],"radial":[62,65,78,91],"component,":[63],"called":[64],"distortion-simultaneously":[66],"obtain":[68],"anything":[69],"resembling":[70],"useful":[71],"estimates.":[72],"considering":[74],"distortion":[79,94,101,109],"between":[80],"two":[81,104,112],"there":[83],"three":[85,136,162],"conceptually":[86],"distinct":[87],"configurations":[88],"for":[89,156],"distortion;":[92],"(i)":[93],"only":[96],"one":[97],"image,":[98],"(ii)":[99],"identical":[100],"(iii)":[107],"independent":[108],"images.":[113],"While":[114],"these":[115],"cases":[116],"have":[117],"been":[118],"addressed":[119],"separately":[120],"past,":[123],"present":[125],"paper":[126],"provides":[127],"novel":[129],"unified":[131],"approach":[132,143],"solve":[134],"all":[135,161],"cases.":[137],"We":[138],"demonstrate":[139],"how":[140],"proposed":[142,165,196],"can":[144],"used":[146],"construct":[148],"new":[149],"fast,":[150],"stable,":[151],"accurate":[153],"minimal":[154],"solvers":[155,166,173,179,197],"radially":[157],"distorted":[158],"homographies.":[159],"In":[160],"cases,":[163],"our":[164],"faster":[168],"than":[169],"existing":[171],"state-of-the-art":[172],"while":[174],"maintaining":[175],"similar":[176],"accuracy.":[177],"The":[178],"tested":[181],"on":[182],"well-established":[183],"benchmarks":[184],"including":[185],"images":[186],"taken":[187],"fisheye":[189],"cameras.":[190],"A":[191],"reference":[192],"implementation":[193],"made":[199],"available":[200],"as":[201],"part":[202],"HomLib<sup":[204],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[205,207],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup><sup":[206],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>https://github.com/marcusvaltonen/HomLib.":[208]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}