{"id":"https://openalex.org/W2163164795","doi":"https://doi.org/10.1109/icpr.2008.4761007","title":"Structure from Motion: Combining features correspondences and optical flow","display_name":"Structure from Motion: Combining features correspondences and optical flow","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W2163164795","doi":"https://doi.org/10.1109/icpr.2008.4761007","mag":"2163164795"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2008.4761007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761007","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","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/A5113689516","display_name":"Adel Fakih","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Adel Fakih","raw_affiliation_strings":["University of Waterloo, Waterloo, ONT, Canada"],"affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, ONT, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077041853","display_name":"John Zelek","orcid":"https://orcid.org/0000-0002-8138-3546"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"John Zelek","raw_affiliation_strings":["University of Waterloo, Waterloo, ONT, Canada"],"affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, ONT, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5113689516"],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":0.4316,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.55246253,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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":1.0,"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":0.9994999766349792,"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":0.9986000061035156,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.9038255214691162},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.8148305416107178},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6919817328453064},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.67212975025177},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5902338027954102},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5734966993331909},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5547397136688232},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.5405496954917908},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5278986096382141},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.5124900341033936},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.46760597825050354},{"id":"https://openalex.org/keywords/structure-from-motion","display_name":"Structure from motion","score":0.4393000602722168},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38080033659935},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37025630474090576},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36870622634887695},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2825719118118286},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.11024865508079529},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10357773303985596}],"concepts":[{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.9038255214691162},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.8148305416107178},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6919817328453064},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.67212975025177},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5902338027954102},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5734966993331909},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5547397136688232},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.5405496954917908},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5278986096382141},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.5124900341033936},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.46760597825050354},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.4393000602722168},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38080033659935},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37025630474090576},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36870622634887695},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2825719118118286},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.11024865508079529},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10357773303985596},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr.2008.4761007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761007","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.214.4197","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.214.4197","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://figment.cse.usf.edu/~sfefilat/data/papers/MoBT8.19.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1565206031","https://openalex.org/W1575387439","https://openalex.org/W1992989752","https://openalex.org/W2016554127","https://openalex.org/W2033819227","https://openalex.org/W2046434485","https://openalex.org/W2080629029","https://openalex.org/W2085261163","https://openalex.org/W2106373744","https://openalex.org/W2108417695","https://openalex.org/W2109635530","https://openalex.org/W2128972574","https://openalex.org/W2134138606","https://openalex.org/W2151103935","https://openalex.org/W2158744135","https://openalex.org/W2165584048","https://openalex.org/W3215644061","https://openalex.org/W6633567737","https://openalex.org/W6675894577"],"related_works":["https://openalex.org/W4286646204","https://openalex.org/W2564375980","https://openalex.org/W2030154815","https://openalex.org/W2051121715","https://openalex.org/W3092720353","https://openalex.org/W1501297619","https://openalex.org/W2026674073","https://openalex.org/W2095498067","https://openalex.org/W1593347678","https://openalex.org/W2354637046"],"abstract_inverted_index":{"This":[0,19],"paper":[1],"suggests":[2],"using":[3],"discrete":[4],"feature":[5,26,33,51],"displacements":[6],"and":[7,16,105],"optical":[8,44,79],"flow":[9,45,80],"simultaneously":[10],"to":[11,98,106],"determine":[12],"the":[13,23,32,42,49,59,62,72,90,99,103,107,110],"camera":[14,73],"motion":[15,64],"its":[17],"velocity.":[18],"is":[20,28,39,55,95],"advantageous":[21,57],"when":[22,31],"number":[24],"of":[25,61,109],"correspondences":[27,34,52],"low":[29],"or":[30],"are":[35],"noisy.":[36],"The":[37],"reason":[38],"that":[40],"usually":[41],"available":[43,50],"data":[46],"largely":[47],"outnumbers":[48],"data.":[53],"It":[54],"also":[56],"from":[58,78],"perspective":[60],"instantaneous":[63],"estimation":[65],"because":[66],"it":[67],"gives":[68],"better":[69],"estimates":[70],"for":[71],"velocity":[74],"than":[75],"those":[76],"obtained":[77],"by":[81],"itself.":[82],"We":[83],"propose":[84],"a":[85],"probabilistic":[86],"framework":[87],"capitalizing":[88],"on":[89],"this":[91],"idea.":[92],"Monte-Carlo":[93],"filtering":[94],"employed":[96],"due":[97],"non-linearities":[100],"involved":[101],"in":[102],"problem":[104],"non-Gaussianity":[108],"measurements\u00bf":[111],"probability":[112],"distributions.":[113]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}