{"id":"https://openalex.org/W2022003991","doi":"https://doi.org/10.1109/ic3d.2013.6732075","title":"Robust homography for real-time image un-distortion","display_name":"Robust homography for real-time image un-distortion","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2022003991","doi":"https://doi.org/10.1109/ic3d.2013.6732075","mag":"2022003991"},"language":"en","primary_location":{"id":"doi:10.1109/ic3d.2013.6732075","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3d.2013.6732075","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on 3D Imaging","raw_type":"proceedings-article"},"type":"conference-paper","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/A5031118545","display_name":"Jianhui Chen","orcid":"https://orcid.org/0000-0001-5506-2653"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jianhui Chen","raw_affiliation_strings":["Department of Computer Science and Engineering York University, Toronto, Canada","Department of Computer Science and Engineering York University, Toronto, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering York University, Toronto, Canada","institution_ids":["https://openalex.org/I192455969"]},{"raw_affiliation_string":"Department of Computer Science and Engineering York University, Toronto, ON, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000568318","display_name":"Karim Benzeroual","orcid":null},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Karim Benzeroual","raw_affiliation_strings":["Department of Computer Science and Engineering York University, Toronto, Canada","Department of Computer Science and Engineering York University, Toronto, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering York University, Toronto, Canada","institution_ids":["https://openalex.org/I192455969"]},{"raw_affiliation_string":"Department of Computer Science and Engineering York University, Toronto, ON, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036150889","display_name":"Robert S. Allison","orcid":"https://orcid.org/0000-0002-4485-2665"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Robert S. Allison","raw_affiliation_strings":["Department of Computer Science and Engineering York University, Toronto, Canada","Department of Computer Science and Engineering York University, Toronto, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering York University, Toronto, Canada","institution_ids":["https://openalex.org/I192455969"]},{"raw_affiliation_string":"Department of Computer Science and Engineering York University, Toronto, ON, Canada","institution_ids":["https://openalex.org/I192455969"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I192455969"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","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/T10638","display_name":"Optical measurement and interference techniques","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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"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/homography","display_name":"Homography","score":0.8389909863471985},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7059887647628784},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6468393802642822},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6443074941635132},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.6080864667892456},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5052507519721985},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4111365079879761},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22770118713378906},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06628856062889099},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0651315450668335},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.055734604597091675}],"concepts":[{"id":"https://openalex.org/C28751775","wikidata":"https://www.wikidata.org/wiki/Q2112539","display_name":"Homography","level":4,"score":0.8389909863471985},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7059887647628784},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6468393802642822},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6443074941635132},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.6080864667892456},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5052507519721985},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4111365079879761},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22770118713378906},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06628856062889099},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0651315450668335},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.055734604597091675},{"id":"https://openalex.org/C177846678","wikidata":"https://www.wikidata.org/wiki/Q1501864","display_name":"Projective test","level":2,"score":0.0},{"id":"https://openalex.org/C75280867","wikidata":"https://www.wikidata.org/wiki/Q877775","display_name":"Projective space","level":3,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic3d.2013.6732075","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3d.2013.6732075","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on 3D Imaging","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1579737001","https://openalex.org/W1883355056","https://openalex.org/W2005322095","https://openalex.org/W2023834842","https://openalex.org/W2047907253","https://openalex.org/W2068617081","https://openalex.org/W2072409160","https://openalex.org/W2103569660","https://openalex.org/W2124535811","https://openalex.org/W2136801452","https://openalex.org/W2164690060","https://openalex.org/W2165949425","https://openalex.org/W2167667767","https://openalex.org/W2168991957","https://openalex.org/W3157685993","https://openalex.org/W4206610958","https://openalex.org/W4246698489","https://openalex.org/W6639182216","https://openalex.org/W6682713309","https://openalex.org/W6794416818"],"related_works":["https://openalex.org/W4313151434","https://openalex.org/W2050662190","https://openalex.org/W1997252062","https://openalex.org/W2899509464","https://openalex.org/W2159857203","https://openalex.org/W67284269","https://openalex.org/W2157223712","https://openalex.org/W2469958882","https://openalex.org/W3017657231","https://openalex.org/W2559811894"],"abstract_inverted_index":{"Stereoscopic":[0],"3D":[1],"film":[2],"production":[3],"has":[4,133],"increased":[5],"the":[6,41,51,55,79,82,146,155,167,173,181],"need":[7,147],"for":[8,148],"efficient":[9,98],"and":[10,14,24,97,104,119,154,204,216],"robust":[11,92,217],"camera":[12],"calibration":[13,152,171,184],"tracking.":[15],"Many":[16],"of":[17,159,169,175],"these":[18],"tasks":[19],"involve":[20],"making":[21],"planar":[22,42],"correspondence":[23],"thus":[25],"accurate":[26],"fast":[27],"homography":[28,33,88,93,102,118,157],"estimation":[29,34,107],"is":[30,66,85,178],"essential.":[31],"However,":[32],"may":[35,45],"fail":[36],"with":[37,129,141],"distorted":[38,47],"images":[39],"since":[40],"projected":[43],"corners":[44],"be":[46,139],"far":[48],"away":[49],"from":[50,62,122],"\u201cperfect\u201d":[52],"locations.":[53],"On":[54],"other":[56],"hand,":[57],"precisely":[58],"estimating":[59],"lens":[60],"distortion":[61,84,106,121,199],"a":[63,68,95,109,123,150],"single":[64,124,151],"image":[65,83,105,120,125,153,183,198],"still":[67],"challenge,":[69],"especially":[70],"in":[71,87,108,126,201,212],"real-time":[72,156],"applications.":[73],"In":[74,186],"this":[75],"paper,":[76],"we":[77,190],"drop":[78],"assumption":[80],"that":[81,192],"negligible":[86],"estimation.":[89],"We":[90,207],"propose":[91],"as":[94],"simple":[96],"approach":[99],"which":[100],"combines":[101],"mapping":[103,158],"least":[110],"square":[111],"constraint.":[112],"Our":[113],"method":[114,177,194],"can":[115,138,195],"simultaneously":[116],"estimate":[117,197],"real-time.":[127],"Compared":[128],"previous":[130],"methods,":[131],"it":[132],"two":[134],"advantages:":[135],"first,":[136],"un-distortion":[137,215],"achieved":[140],"little":[142],"overhead":[143],"due":[144,165],"to":[145,161,166,180],"only":[149],"easy":[160],"track":[162],"corners;":[163],"second,":[164],"use":[168],"precise":[170],"targets":[172],"accuracy":[174],"our":[176,193],"comparable":[179],"multiple":[182],"methods.":[185],"an":[187],"experimental":[188],"evaluation,":[189],"show":[191],"accurately":[196],"parameters":[200],"both":[202],"synthetic":[203],"real":[205],"images.":[206],"also":[208],"present":[209],"its":[210],"applications":[211],"close":[213],"range":[214],"corner":[218],"detection.":[219]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
