{"id":"https://openalex.org/W2559155966","doi":"https://doi.org/10.1109/ivcnz.2015.7761521","title":"Guided filtering based pyramidical stereo matching for unrectified images","display_name":"Guided filtering based pyramidical stereo matching for unrectified images","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2559155966","doi":"https://doi.org/10.1109/ivcnz.2015.7761521","mag":"2559155966"},"language":"en","primary_location":{"id":"doi:10.1109/ivcnz.2015.7761521","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz.2015.7761521","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Image and Vision Computing New Zealand (IVCNZ)","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/A5101924387","display_name":"Xu Tian","orcid":"https://orcid.org/0000-0001-6108-7494"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Tian Xu","raw_affiliation_strings":["School of Computing Science, University of Glasgow"],"affiliations":[{"raw_affiliation_string":"School of Computing Science, University of Glasgow","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112081322","display_name":"Paul Cockshott","orcid":null},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Paul Cockshott","raw_affiliation_strings":["School of Computing Science, University of Glasgow"],"affiliations":[{"raw_affiliation_string":"School of Computing Science, University of Glasgow","institution_ids":["https://openalex.org/I7882870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101924387"],"corresponding_institution_ids":["https://openalex.org/I7882870"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24575803,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"47","issue":null,"first_page":"1","last_page":"6"},"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":0.998199999332428,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9958999752998352,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.837656557559967},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7780780792236328},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7427691221237183},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6146472692489624},{"id":"https://openalex.org/keywords/computer-stereo-vision","display_name":"Computer stereo vision","score":0.5487433671951294},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5082599520683289},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4836886525154114},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46862462162971497},{"id":"https://openalex.org/keywords/image-rectification","display_name":"Image rectification","score":0.4441051483154297},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.38596487045288086},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37269920110702515},{"id":"https://openalex.org/keywords/rectification","display_name":"Rectification","score":0.32667237520217896},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15158241987228394}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.837656557559967},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7780780792236328},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7427691221237183},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6146472692489624},{"id":"https://openalex.org/C31451488","wikidata":"https://www.wikidata.org/wiki/Q5157586","display_name":"Computer stereo vision","level":3,"score":0.5487433671951294},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5082599520683289},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4836886525154114},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46862462162971497},{"id":"https://openalex.org/C171614847","wikidata":"https://www.wikidata.org/wiki/Q1262415","display_name":"Image rectification","level":4,"score":0.4441051483154297},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.38596487045288086},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37269920110702515},{"id":"https://openalex.org/C50942859","wikidata":"https://www.wikidata.org/wiki/Q4967193","display_name":"Rectification","level":3,"score":0.32667237520217896},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15158241987228394},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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":1,"locations":[{"id":"doi:10.1109/ivcnz.2015.7761521","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz.2015.7761521","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Image and Vision Computing New Zealand (IVCNZ)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1581896395","https://openalex.org/W1674866864","https://openalex.org/W1782560845","https://openalex.org/W1963629711","https://openalex.org/W1968799614","https://openalex.org/W1996126470","https://openalex.org/W2053001286","https://openalex.org/W2064834930","https://openalex.org/W2089630413","https://openalex.org/W2104974755","https://openalex.org/W2112421488","https://openalex.org/W2121781154","https://openalex.org/W2123782500","https://openalex.org/W2124535811","https://openalex.org/W2125188192","https://openalex.org/W2127518584","https://openalex.org/W2167667767","https://openalex.org/W2408230822"],"related_works":["https://openalex.org/W2372715484","https://openalex.org/W2755641224","https://openalex.org/W2375893148","https://openalex.org/W2392564394","https://openalex.org/W2069867538","https://openalex.org/W2036165812","https://openalex.org/W139502281","https://openalex.org/W2786327687","https://openalex.org/W2381841324","https://openalex.org/W4375840474"],"abstract_inverted_index":{"Stereo":[0],"matching":[1,40,125,139,200],"deals":[2],"with":[3,166],"recovering":[4],"quantitative":[5],"depth":[6],"information":[7],"from":[8,56,72],"a":[9],"set":[10],"of":[11,24,44,53,60,75,87,142,155,158],"input":[12],"images,":[13],"based":[14],"on":[15,170,194],"the":[16,25,29,42,50,54,57,61,73,76,85,95,101,108,122,135,153,156,163,202],"visual":[17],"disparity":[18,51],"between":[19],"corresponding":[20],"points.":[21],"Generally":[22],"most":[23],"algorithms":[26,169],"assume":[27],"that":[28,127,148,176,190],"processed":[30],"images":[31,90,109,204],"are":[32,149],"rectified.":[33],"As":[34],"robotics":[35],"becomes":[36],"popular,":[37],"conducting":[38],"stereo":[39,124,138,199],"in":[41,91,140],"context":[43],"cloth":[45,62,98,105,159],"manipulation,":[46],"such":[47],"as":[48],"obtaining":[49],"map":[52],"garments":[55],"two":[58,167],"cameras":[59],"folding":[63],"robot,":[64],"is":[65,70,180],"useful":[66],"and":[67,80,183,210],"challenging.":[68],"This":[69,187],"resulted":[71],"fact":[74],"high":[77,88],"efficiency,":[78],"accuracy":[79],"low":[81,185],"memory":[82],"requirement":[83],"under":[84],"usage":[86],"resolution":[89],"order":[92],"to":[93,116,151],"capture":[94],"details":[96],"(e.g.":[97,104],"wrinkles)":[99],"for":[100,130],"given":[102],"application":[103],"folding).":[106],"Meanwhile,":[107],"can":[110,205],"be":[111,206],"unrectified.":[112],"Therefore,":[113],"we":[114,144,174],"propose":[115],"adapt":[117],"guided":[118],"filtering":[119],"algorithm":[120,165],"into":[121],"pyramidical":[123],"framework":[126],"works":[128],"directly":[129,197],"unrectified":[131,137,203],"images.":[132],"To":[133],"evaluate":[134],"proposed":[136,164,178],"terms":[141],"accuracy,":[143],"present":[145],"three":[146,172],"datasets":[147],"suited":[150],"especially":[152],"characteristics":[154],"task":[157],"manipulations.":[160],"By":[161],"comparing":[162],"baseline":[168],"those":[171],"datasets,":[173],"demonstrate":[175],"our":[177],"approach":[179],"accurate,":[181],"efficient":[182],"requires":[184],"memory.":[186],"also":[188,207],"shows":[189],"rather":[191],"than":[192],"relying":[193],"image":[195],"rectification,":[196],"applying":[198],"through":[201],"quite":[208],"effective":[209],"meanwhile":[211],"efficient.":[212]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
