{"id":"https://openalex.org/W4289446298","doi":"https://doi.org/10.48550/arxiv.2207.14660","title":"Matching with AffNet based rectifications","display_name":"Matching with AffNet based rectifications","publication_year":2022,"publication_date":"2022-07-29","ids":{"openalex":"https://openalex.org/W4289446298","doi":"https://doi.org/10.48550/arxiv.2207.14660"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2207.14660","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2207.14660","pdf_url":"https://arxiv.org/pdf/2207.14660","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2207.14660","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005951617","display_name":"V\u00e1clav V\u00e1vra","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"V\u00e1vra, V\u00e1clav","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035547460","display_name":"Dmytro Mishkin","orcid":"https://orcid.org/0000-0001-8205-6718"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mishkin, Dmytro","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5007656938","display_name":"Ji\u0159\u0131\u0301 Matas","orcid":"https://orcid.org/0000-0003-0863-4844"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matas, Ji\u0159\u00ed","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005951617"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9986000061035156,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9972000122070312,"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/affine-transformation","display_name":"Affine transformation","score":0.8919485807418823},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.7051705121994019},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6432043313980103},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5941238403320312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5268843770027161},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5144772529602051},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44010335206985474},{"id":"https://openalex.org/keywords/image-matching","display_name":"Image matching","score":0.41000261902809143},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3641252815723419},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32090461254119873},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2969966530799866},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.13532602787017822},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.10512953996658325},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.05784603953361511}],"concepts":[{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.8919485807418823},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.7051705121994019},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6432043313980103},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5941238403320312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5268843770027161},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5144772529602051},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44010335206985474},{"id":"https://openalex.org/C2986492983","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image matching","level":3,"score":0.41000261902809143},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3641252815723419},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32090461254119873},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2969966530799866},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.13532602787017822},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10512953996658325},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.05784603953361511}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2207.14660","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2207.14660","pdf_url":"https://arxiv.org/pdf/2207.14660","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2207.14660","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2207.14660","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:2207.14660","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2207.14660","pdf_url":"https://arxiv.org/pdf/2207.14660","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W567560085","https://openalex.org/W2384918310","https://openalex.org/W2383808867","https://openalex.org/W2372581239","https://openalex.org/W2107893065","https://openalex.org/W2617958085","https://openalex.org/W2023554226","https://openalex.org/W1509862229","https://openalex.org/W2087054060","https://openalex.org/W2050706403"],"abstract_inverted_index":{"We":[0,14],"consider":[1],"the":[2,20,41,82,95,98],"problem":[3],"of":[4,70,97],"two-view":[5],"matching":[6],"under":[7],"significant":[8],"viewpoint":[9],"changes":[10],"with":[11,46,94],"view":[12,21],"synthesis.":[13],"propose":[15],"two":[16],"novel":[17],"methods,":[18],"minimizing":[19],"synthesis":[22],"overhead.":[23],"The":[24,52,105],"first":[25],"one,":[26,54],"named":[27,55],"DenseAffNet,":[28],"uses":[29],"dense":[30],"affine":[31,50,63,72],"shapes":[32,64],"estimates":[33,65],"from":[34,59],"AffNet,":[35],"which":[36],"allows":[37],"it":[38],"to":[39,66],"partition":[40,45],"image,":[42],"rectifying":[43,71],"each":[44],"just":[47],"a":[48],"single":[49],"map.":[51],"second":[53],"DepthAffNet,":[56],"combines":[57],"information":[58],"depth":[60],"maps":[61,73],"and":[62,84,120],"produce":[67],"different":[68,75],"sets":[69],"for":[74],"image":[76],"partitions.":[77],"DenseAffNet":[78],"is":[79,91,107],"faster":[80],"than":[81],"state-of-the-art":[83],"more":[85],"accurate":[86],"on":[87,92,100,109],"generic":[88],"scenes.":[89],"DepthAffNet":[90],"par":[93],"state":[96],"art":[99],"scenes":[101],"containing":[102],"large":[103],"planes.":[104],"evaluation":[106],"performed":[108],"3":[110],"public":[111],"datasets":[112],"-":[113],"EVD":[114],"Dataset,":[115],"Strong":[116],"ViewPoint":[117],"Changes":[118],"Dataset":[119],"IMC":[121],"Phototourism":[122],"Dataset.":[123]},"counts_by_year":[],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2022-08-02T00:00:00"}