{"id":"https://openalex.org/W2168604452","doi":"https://doi.org/10.1109/icdar.2007.4378717","title":"Curved paper rectification for digital camera document images by shape from parallel geodesics using continuous dynamic programming","display_name":"Curved paper rectification for digital camera document images by shape from parallel geodesics using continuous dynamic programming","publication_year":2007,"publication_date":"2007-09-01","ids":{"openalex":"https://openalex.org/W2168604452","doi":"https://doi.org/10.1109/icdar.2007.4378717","mag":"2168604452"},"language":"en","primary_location":{"id":"doi:10.1109/icdar.2007.4378717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdar.2007.4378717","pdf_url":null,"source":{"id":"https://openalex.org/S4210215987","display_name":"Proceedings of the International Conference on Document Analysis and Recognition","issn_l":"1520-5363","issn":["1520-5363","2379-2140"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ninth International Conference on Document Analysis and Recognition (ICDAR 2007)","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/A5025461898","display_name":"K. Fujimoto","orcid":"https://orcid.org/0000-0001-6224-7867"},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Katsuhito Fujimoto","raw_affiliation_strings":["Fujitsu Laboratories Limited, Kawasaki, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"Fujitsu Laboratories Limited, Kawasaki, Kanagawa, Japan","institution_ids":["https://openalex.org/I2252096349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100327195","display_name":"Jun Sun","orcid":"https://orcid.org/0000-0002-0967-4859"},"institutions":[{"id":"https://openalex.org/I4210159607","display_name":"Fujitsu (China)","ror":"https://ror.org/04w4yzw62","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210159607"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Sun","raw_affiliation_strings":["Fujitsu Research and Development Center Company Limited, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Fujitsu Research and Development Center Company Limited, Beijing, China","institution_ids":["https://openalex.org/I4210159607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040886013","display_name":"Hiroaki Takebe","orcid":null},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroaki Takebe","raw_affiliation_strings":["Fujitsu Laboratories Limited, Kawasaki, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"Fujitsu Laboratories Limited, Kawasaki, Kanagawa, Japan","institution_ids":["https://openalex.org/I2252096349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110596195","display_name":"Misako Suwa","orcid":null},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Misako Suwa","raw_affiliation_strings":["Fujitsu Laboratories Limited, Kawasaki, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"Fujitsu Laboratories Limited, Kawasaki, Kanagawa, Japan","institution_ids":["https://openalex.org/I2252096349"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031845777","display_name":"Satoshi Naoi","orcid":null},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoshi Naoi","raw_affiliation_strings":["Fujitsu Laboratories Limited, Kawasaki, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"Fujitsu Laboratories Limited, Kawasaki, Kanagawa, Japan","institution_ids":["https://openalex.org/I2252096349"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5025461898"],"corresponding_institution_ids":["https://openalex.org/I2252096349"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.23636364,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"267","last_page":"271"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9987000226974487,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9987000226974487,"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":0.9979000091552734,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9976000189781189,"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/rectification","display_name":"Rectification","score":0.7039932012557983},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.6960253119468689},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.6522952318191528},{"id":"https://openalex.org/keywords/geodesic","display_name":"Geodesic","score":0.6471604108810425},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6076145172119141},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.597475528717041},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5667364001274109},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4822179079055786},{"id":"https://openalex.org/keywords/ruled-surface","display_name":"Ruled surface","score":0.46542590856552124},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4594150483608246},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.36517810821533203},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.271359384059906},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.191392719745636},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1189546287059784}],"concepts":[{"id":"https://openalex.org/C50942859","wikidata":"https://www.wikidata.org/wiki/Q4967193","display_name":"Rectification","level":3,"score":0.7039932012557983},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.6960253119468689},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.6522952318191528},{"id":"https://openalex.org/C165818556","wikidata":"https://www.wikidata.org/wiki/Q213488","display_name":"Geodesic","level":2,"score":0.6471604108810425},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6076145172119141},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.597475528717041},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5667364001274109},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4822179079055786},{"id":"https://openalex.org/C123635137","wikidata":"https://www.wikidata.org/wiki/Q840376","display_name":"Ruled surface","level":3,"score":0.46542590856552124},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4594150483608246},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.36517810821533203},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.271359384059906},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.191392719745636},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1189546287059784},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdar.2007.4378717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdar.2007.4378717","pdf_url":null,"source":{"id":"https://openalex.org/S4210215987","display_name":"Proceedings of the International Conference on Document Analysis and Recognition","issn_l":"1520-5363","issn":["1520-5363","2379-2140"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ninth International Conference on Document Analysis and Recognition (ICDAR 2007)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1602338652","https://openalex.org/W2109716752","https://openalex.org/W2115263911","https://openalex.org/W2125490810","https://openalex.org/W2127217680","https://openalex.org/W2130475102","https://openalex.org/W2138283657","https://openalex.org/W2169786363","https://openalex.org/W2487409843","https://openalex.org/W6680391205"],"related_works":["https://openalex.org/W2370721955","https://openalex.org/W2169666582","https://openalex.org/W2364136600","https://openalex.org/W1516389180","https://openalex.org/W2955196804","https://openalex.org/W2999868533","https://openalex.org/W1542397692","https://openalex.org/W4388285376","https://openalex.org/W2044605826","https://openalex.org/W148218177"],"abstract_inverted_index":{"Methods":[0],"to":[1,44],"rectify":[2],"distortion":[3,26],"of":[4,9,50,80,141,160],"digital":[5],"camera":[6],"document":[7],"images":[8],"curved":[10,60,66,120],"papers":[11],"have":[12],"become":[13,55],"important":[14],"for":[15],"camera-based":[16],"image":[17,93],"recognition.":[18],"In":[19],"this":[20,128],"paper":[21,61,67],"we":[22],"propose":[23],"a":[24,59,64,72,77],"novel":[25],"rectification":[27],"method":[28,36,100],"based":[29],"on":[30,52,58,154],"\"shape":[31],"from":[32,95],"parallel":[33,41,56],"geodesies.\"":[34],"This":[35],"considers":[37],"the":[38,86,91,102,106,110,114,119,124,133,158,161],"following":[39],"features:":[40],"lines":[42,49],"corresponding":[43],"character":[45],"strings":[46],"or":[47],"ruled":[48,73,115,134],"tables":[51],"extended":[53],"surface":[54,62,79,116,135],"geodesies":[57,84],"and":[63,85,122,144],"smoothly":[65],"can":[68,131],"be":[69],"modeled":[70],"by":[71,138],"surface,":[74],"that":[75,117,156],"is,":[76],"sweep":[78],"rulings.":[81],"The":[82,98],"projected":[83,87,103,107],"rulings":[88,108],"exist":[89],"in":[90,109,127],"input":[92,111],"derived":[94],"perspective":[96],"transformation.":[97],"presented":[99],"extracts":[101],"geodesies,":[104],"estimates":[105,113],"image,":[112,126],"models":[118],"paper,":[121],"generates":[123],"corrected":[125],"order.":[129],"It":[130],"estimate":[132],"model":[136],"directly":[137],"numerical":[139],"operations":[140],"differentiation,":[142],"integration":[143],"matrix":[145],"inversion":[146],"without":[147],"any":[148],"iterative":[149],"calculation.":[150],"We":[151],"also":[152],"report":[153],"experiments":[155],"show":[157],"effectiveness":[159],"proposed":[162],"method.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}