{"id":"https://openalex.org/W2132339278","doi":"https://doi.org/10.1109/icpr.2008.4761310","title":"Relative scale estimation between two camera motions","display_name":"Relative scale estimation between two camera motions","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W2132339278","doi":"https://doi.org/10.1109/icpr.2008.4761310","mag":"2132339278"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2008.4761310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761310","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/A5052108818","display_name":"Yekeun Jeong","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Yekeun Jeong","raw_affiliation_strings":["RCV Laboratory, KAIST, Daejeon, South Korea","RCV Lab., KAIST, Daejeon"],"affiliations":[{"raw_affiliation_string":"RCV Laboratory, KAIST, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"RCV Lab., KAIST, Daejeon","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050106953","display_name":"In-So Kweon","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"In-So Kweon","raw_affiliation_strings":["RCV Laboratory, KAIST, Daejeon, South Korea","RCV Lab., KAIST, Daejeon"],"affiliations":[{"raw_affiliation_string":"RCV Laboratory, KAIST, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"RCV Lab., KAIST, Daejeon","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5052108818"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17291221,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9997000098228455,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9991999864578247,"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/computer-science","display_name":"Computer science","score":0.6488232612609863},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6301369667053223},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6092390418052673},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6015615463256836},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5645894408226013},{"id":"https://openalex.org/keywords/structure-from-motion","display_name":"Structure from motion","score":0.5553226470947266},{"id":"https://openalex.org/keywords/scale-space","display_name":"Scale space","score":0.5450442433357239},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.5329246520996094},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.47052112221717834},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.4691055417060852},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.44441455602645874},{"id":"https://openalex.org/keywords/essential-matrix","display_name":"Essential matrix","score":0.43792724609375},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4242745637893677},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3425142168998718},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3158109784126282},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24174189567565918},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.14679044485092163},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12563258409500122},{"id":"https://openalex.org/keywords/symmetric-matrix","display_name":"Symmetric matrix","score":0.10655355453491211},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07943785190582275}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6488232612609863},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6301369667053223},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6092390418052673},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6015615463256836},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5645894408226013},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.5553226470947266},{"id":"https://openalex.org/C99102927","wikidata":"https://www.wikidata.org/wiki/Q3058184","display_name":"Scale space","level":4,"score":0.5450442433357239},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.5329246520996094},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.47052112221717834},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.4691055417060852},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.44441455602645874},{"id":"https://openalex.org/C49996920","wikidata":"https://www.wikidata.org/wiki/Q17089185","display_name":"Essential matrix","level":5,"score":0.43792724609375},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4242745637893677},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3425142168998718},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3158109784126282},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24174189567565918},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.14679044485092163},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12563258409500122},{"id":"https://openalex.org/C54848796","wikidata":"https://www.wikidata.org/wiki/Q339011","display_name":"Symmetric matrix","level":3,"score":0.10655355453491211},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07943785190582275},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C22629506","wikidata":"https://www.wikidata.org/wiki/Q7602993","display_name":"State-transition matrix","level":4,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr.2008.4761310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761310","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:10.1.1.214.3391","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.214.3391","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/ThBCT9.20.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":12,"referenced_works":["https://openalex.org/W297039922","https://openalex.org/W1992989752","https://openalex.org/W2011891945","https://openalex.org/W2033819227","https://openalex.org/W2111308925","https://openalex.org/W2124321582","https://openalex.org/W2130103520","https://openalex.org/W2171336437","https://openalex.org/W2296147781","https://openalex.org/W4243425824","https://openalex.org/W6679388247","https://openalex.org/W6684731175"],"related_works":["https://openalex.org/W1501297619","https://openalex.org/W2026674073","https://openalex.org/W2053820737","https://openalex.org/W1484667368","https://openalex.org/W1988727984","https://openalex.org/W2117193720","https://openalex.org/W2114253841","https://openalex.org/W2105413810","https://openalex.org/W2395181606","https://openalex.org/W13825435"],"abstract_inverted_index":{"In":[0,91],"structure":[1],"from":[2],"motion,":[3],"if":[4],"two":[5,28],"metric":[6,24],"structures":[7],"are":[8],"given,":[9],"the":[10,20,23,35,42,55,63,67,72,79,82,85,88,103,106,111,118,125,131,134,145],"unknown":[11],"scale":[12,56,64,83,107],"between":[13,69],"them":[14],"can":[15,101],"be":[16],"resolved":[17],"by":[18,109],"constraining":[19],"rigidity":[21],"of":[22,44,78,81,105,113,133,140],"space.":[25],"There":[26],"exist":[27],"well-known":[29],"approaches.":[30],"The":[31,51],"first":[32],"one":[33,53],"is":[34,54,60,75,121],"pose":[36,43],"estimation":[37,57,108],"which":[38,100],"aims":[39],"to":[40,61,87],"find":[41],"a":[45,97],"camera":[46],"for":[47],"known":[48],"3D":[49,115],"points.":[50,116],"second":[52],"whose":[58],"goal":[59],"resolve":[62],"after":[65],"estimating":[66],"motion":[68],"cameras.":[70],"Recently,":[71],"former":[73],"way":[74],"preferred":[76],"because":[77],"vulnerability":[80],"estimation,":[84],"weakness":[86,104],"image":[89],"noise.":[90],"this":[92],"paper,":[93],"we":[94,136],"thus":[95],"propose":[96],"robust":[98],"method":[99],"overcome":[102],"considering":[110],"uncertainty":[112],"reconstructed":[114],"Additionally,":[117],"rotation":[119],"matrix":[120],"directly":[122],"corrected":[123],"under":[124],"structural":[126],"consistency":[127],"constraint.":[128],"To":[129],"illustrate":[130],"performance":[132],"method,":[135],"demonstrate":[137],"some":[138],"examples":[139],"large-scale":[141],"reconstructions":[142],"and":[143],"compare":[144],"results.":[146]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
