{"id":"https://openalex.org/W4250251969","doi":"https://doi.org/10.1109/tdpvt.2004.1335274","title":"Enhanced surface reconstruction from wide baseline images","display_name":"Enhanced surface reconstruction from wide baseline images","publication_year":2004,"publication_date":"2004-11-08","ids":{"openalex":"https://openalex.org/W4250251969","doi":"https://doi.org/10.1109/tdpvt.2004.1335274"},"language":"en","primary_location":{"id":"doi:10.1109/tdpvt.2004.1335274","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdpvt.2004.1335274","pdf_url":null,"source":{"id":"https://openalex.org/S4363608708","display_name":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","issn_l":null,"issn":null,"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":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","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/A5077060269","display_name":"Zolt\u00e1n Megyesi","orcid":null},"institutions":[{"id":"https://openalex.org/I106118109","display_name":"E\u00f6tv\u00f6s Lor\u00e1nd University","ror":"https://ror.org/01jsq2704","country_code":"HU","type":"education","lineage":["https://openalex.org/I106118109"]},{"id":"https://openalex.org/I4210117195","display_name":"Institute for Computer Science and Control","ror":"https://ror.org/0249v7n71","country_code":"HU","type":"facility","lineage":["https://openalex.org/I4210117195","https://openalex.org/I7597260"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"Z. Megyesi","raw_affiliation_strings":["Computer and Automation Research Institute, Eotvos Lorand University, Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Computer and Automation Research Institute, Eotvos Lorand University, Budapest, Hungary","institution_ids":["https://openalex.org/I4210117195","https://openalex.org/I106118109"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053581579","display_name":"Dmitry Chetverikov","orcid":null},"institutions":[{"id":"https://openalex.org/I106118109","display_name":"E\u00f6tv\u00f6s Lor\u00e1nd University","ror":"https://ror.org/01jsq2704","country_code":"HU","type":"education","lineage":["https://openalex.org/I106118109"]},{"id":"https://openalex.org/I4210117195","display_name":"Institute for Computer Science and Control","ror":"https://ror.org/0249v7n71","country_code":"HU","type":"facility","lineage":["https://openalex.org/I4210117195","https://openalex.org/I7597260"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"D. Chetverikov","raw_affiliation_strings":["Computer and Automation Research Institute, Eotvos Lorand University, Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Computer and Automation Research Institute, Eotvos Lorand University, Budapest, Hungary","institution_ids":["https://openalex.org/I4210117195","https://openalex.org/I106118109"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5077060269"],"corresponding_institution_ids":["https://openalex.org/I106118109","https://openalex.org/I4210117195"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.38337054,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2273","issue":null,"first_page":"463","last_page":"469"},"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":0.9988999962806702,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9988999962806702,"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/baseline","display_name":"Baseline (sea)","score":0.8118427395820618},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.7691034078598022},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7193403244018555},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.6084136366844177},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6075462698936462},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.6055806279182434},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.57274329662323},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5604650378227234},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5217695832252502},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.4846270978450775},{"id":"https://openalex.org/keywords/surface-reconstruction","display_name":"Surface reconstruction","score":0.4277608394622803},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.37370795011520386},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36561062932014465},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19999420642852783},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.173764169216156},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.0706387460231781}],"concepts":[{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.8118427395820618},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.7691034078598022},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7193403244018555},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.6084136366844177},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6075462698936462},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.6055806279182434},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.57274329662323},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5604650378227234},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5217695832252502},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.4846270978450775},{"id":"https://openalex.org/C20885615","wikidata":"https://www.wikidata.org/wiki/Q825595","display_name":"Surface reconstruction","level":3,"score":0.4277608394622803},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.37370795011520386},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36561062932014465},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19999420642852783},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.173764169216156},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0706387460231781},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tdpvt.2004.1335274","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdpvt.2004.1335274","pdf_url":null,"source":{"id":"https://openalex.org/S4363608708","display_name":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","issn_l":null,"issn":null,"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":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6100000143051147}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321994","display_name":"Hungarian Scientific Research Fund","ror":"https://ror.org/00v349e63"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W134171312","https://openalex.org/W160649433","https://openalex.org/W247104752","https://openalex.org/W1501769826","https://openalex.org/W1555614281","https://openalex.org/W2011891945","https://openalex.org/W2062903294","https://openalex.org/W2076969189","https://openalex.org/W2104974755","https://openalex.org/W2124404372","https://openalex.org/W2126850011","https://openalex.org/W2129415393","https://openalex.org/W2142336022","https://openalex.org/W2165497495","https://openalex.org/W2171393712","https://openalex.org/W2498631646","https://openalex.org/W2911302472","https://openalex.org/W3021282624","https://openalex.org/W4231401300","https://openalex.org/W4243871311","https://openalex.org/W6606498583","https://openalex.org/W6630177789","https://openalex.org/W6653484066","https://openalex.org/W6679388247"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W4296359239","https://openalex.org/W2101155126","https://openalex.org/W2043093291","https://openalex.org/W1990323259"],"abstract_inverted_index":{"This":[0],"work":[1],"deals":[2],"with":[3,122],"the":[4,18,44,49,113,128,144,149,155,160],"problem":[5],"of":[6,21,37,105,130,136,162],"dense":[7,60],"matching":[8,63],"from":[9,101],"stereo":[10],"images":[11,104,151],"under":[12],"wide":[13,102,138],"baseline":[14,103,139],"conditions.":[15],"By":[16],"considering":[17],"characteristic":[19],"properties":[20],"widely":[22],"separated":[23],"views,":[24],"we":[25,116],"propose":[26],"an":[27,68],"extension":[28],"to":[29,51,82,154,158],"a":[30,131],"recently":[31],"published":[32],"algorithm":[33,41],"for":[34,43,59,134],"detailed":[35],"reconstruction":[36,100,114,141],"continuous":[38],"surfaces.":[39,86],"The":[40,62],"compensates":[42],"occurrent":[45],"affine":[46,73],"distortion":[47,79],"between":[48],"views":[50],"allow":[52],"low":[53],"level":[54],"intensity":[55],"based":[56,72],"comparison":[57,135],"necessary":[58],"matching.":[61],"itself":[64],"is":[65,88],"performed":[66],"by":[67],"enhanced":[69],"region":[70],"rowing":[71],"propagation":[74],"method":[75,94],"that":[76,91],"takes":[77],"surface":[78,140],"into":[80],"account":[81],"handle":[83],"complex":[84],"piecewise-smooth":[85],"It":[87],"experimentally":[89],"shown":[90],"this":[92],"new":[93],"can":[95],"achieve":[96],"smooth":[97],"and":[98,108],"accurate":[99],"both":[106],"indoor":[107],"outdoor":[109],"scenes.":[110],"To":[111],"quantify":[112],"results":[115,147],"have":[117],"created":[118],"realistic":[119],"synthetic":[120,150],"datasets":[121,126],"ground":[123,156],"truth.":[124],"These":[125],"form":[127],"core":[129],"future":[132],"testbed":[133],"different":[137],"techniques.":[142],"In":[143],"current":[145],"study,":[146],"on":[148],"are":[152],"compared":[153],"truth":[157],"measure":[159],"accuracy":[161],"our":[163],"method.":[164]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}