{"id":"https://openalex.org/W2159760593","doi":"https://doi.org/10.1109/cvprw.2011.5981689","title":"Learning multi-view correspondences from temporal coincidences","display_name":"Learning multi-view correspondences from temporal coincidences","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2159760593","doi":"https://doi.org/10.1109/cvprw.2011.5981689","mag":"2159760593"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2011.5981689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2011.5981689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVPR 2011 WORKSHOPS","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5072661843","display_name":"Christian Conrad","orcid":"https://orcid.org/0000-0001-7036-342X"},"institutions":[{"id":"https://openalex.org/I114090438","display_name":"Goethe University Frankfurt","ror":"https://ror.org/04cvxnb49","country_code":"DE","type":"education","lineage":["https://openalex.org/I114090438"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Christian Conrad","raw_affiliation_strings":["Department of Computer Science, Goethe University Frankurt, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Goethe University Frankurt, Germany","institution_ids":["https://openalex.org/I114090438"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007989963","display_name":"Alvaro Guevara","orcid":"https://orcid.org/0009-0005-4449-3809"},"institutions":[{"id":"https://openalex.org/I114090438","display_name":"Goethe University Frankfurt","ror":"https://ror.org/04cvxnb49","country_code":"DE","type":"education","lineage":["https://openalex.org/I114090438"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alvaro Guevara","raw_affiliation_strings":["Department of Computer Science, Goethe University Frankurt, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Goethe University Frankurt, Germany","institution_ids":["https://openalex.org/I114090438"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048393027","display_name":"Rudolf Mester","orcid":"https://orcid.org/0000-0002-6932-0606"},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Rudolf Mester","raw_affiliation_strings":["Department of Electrical Engineering, Link\u00f6ping University, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Link\u00f6ping University, Sweden","institution_ids":["https://openalex.org/I102134673"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5072661843"],"corresponding_institution_ids":["https://openalex.org/I114090438"],"apc_list":null,"apc_paid":null,"fwci":0.5151,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71145379,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"9","last_page":"16"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983000159263611,"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/T10638","display_name":"Optical measurement and interference 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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7420745491981506},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6869105100631714},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.6475703716278076},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6449679136276245},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.6236540079116821},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6222403049468994},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6210892200469971},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48394396901130676},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45901644229888916},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.42863720655441284},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39008891582489014},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11686119437217712}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7420745491981506},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6869105100631714},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.6475703716278076},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6449679136276245},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.6236540079116821},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6222403049468994},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6210892200469971},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48394396901130676},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45901644229888916},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.42863720655441284},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39008891582489014},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11686119437217712},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvprw.2011.5981689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2011.5981689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVPR 2011 WORKSHOPS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1495762787","https://openalex.org/W1566724908","https://openalex.org/W1575807691","https://openalex.org/W1592767979","https://openalex.org/W2011891945","https://openalex.org/W2017017788","https://openalex.org/W2020163092","https://openalex.org/W2105604990","https://openalex.org/W2110074930","https://openalex.org/W2113758482","https://openalex.org/W2139915145","https://openalex.org/W2154330368","https://openalex.org/W2155105083","https://openalex.org/W2169700308","https://openalex.org/W2287361771","https://openalex.org/W4254253850","https://openalex.org/W4285719527","https://openalex.org/W6633795708","https://openalex.org/W6654794909","https://openalex.org/W6675868736","https://openalex.org/W6680467755","https://openalex.org/W6696145443"],"related_works":["https://openalex.org/W2365264209","https://openalex.org/W962203960","https://openalex.org/W2026999166","https://openalex.org/W3135697610","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W1996802783","https://openalex.org/W2509431957","https://openalex.org/W4211007821","https://openalex.org/W2802395037"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,56,70],"new":[3],"learning":[4],"approach":[5],"to":[6,28,68],"determine":[7],"the":[8,34,61,93,104,120],"geometric":[9],"and":[10,112],"photometric":[11,117],"relationship":[12],"between":[13],"multiple":[14],"cameras":[15],"which":[16],"have":[17],"at":[18],"least":[19],"partially":[20],"overlapping":[21],"fields":[22],"of":[23,45,48,73,88,96,103],"view.":[24],"The":[25,82],"essential":[26],"difference":[27],"standard":[29],"matching":[30],"techniques":[31],"is":[32,40,53,66],"that":[33,91],"search":[35],"for":[36,78,99,116],"similar":[37],"spatial":[38],"patterns":[39],"replaced":[41],"by":[42],"an":[43,86],"analysis":[44,52],"temporal":[46],"coincidences":[47],"single":[49],"pixels.":[50],"This":[51],"located":[54],"on":[55],"very":[57],"low":[58],"level":[59],"in":[60,119],"processing":[62],"hierarchy,":[63],"since":[64],"it":[65],"hypothesized":[67],"be":[69],"primary":[71],"feature":[72],"visual":[74],"perception,":[75],"useful":[76],"also":[77],"technical":[79],"vision":[80],"systems.":[81],"proposed":[83],"scheme":[84],"yields":[85],"array":[87],"probability":[89],"distributions":[90],"represent":[92],"geometrical":[94],"structure":[95],"these":[97],"correspondences":[98],"arbitrary":[100,106],"relative":[101],"orientations":[102],"cameras,":[105],"imaging":[107],"geometry":[108],"(perspective,":[109],"cata-dioptric,":[110],"etc.),":[111],"under":[113],"large":[114],"tolerance":[115],"differences":[118],"image":[121],"sensors.":[122]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
