{"id":"https://openalex.org/W2099625828","doi":"https://doi.org/10.1109/icpr.2008.4761029","title":"Confidence-based cost modulation for stereo matching","display_name":"Confidence-based cost modulation for stereo matching","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W2099625828","doi":"https://doi.org/10.1109/icpr.2008.4761029","mag":"2099625828"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2008.4761029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761029","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/A5015547069","display_name":"Riccardo Gherardi","orcid":null},"institutions":[{"id":"https://openalex.org/I119439378","display_name":"University of Verona","ror":"https://ror.org/039bp8j42","country_code":"IT","type":"education","lineage":["https://openalex.org/I119439378"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Riccardo Gherardi","raw_affiliation_strings":["Dipartimento di Informatica, University of Verona, Verona, Italy","Dipt. di Inf., Univ. of Verona, Verona, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Informatica, University of Verona, Verona, Italy","institution_ids":["https://openalex.org/I119439378"]},{"raw_affiliation_string":"Dipt. di Inf., Univ. of Verona, Verona, Italy","institution_ids":["https://openalex.org/I119439378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5015547069"],"corresponding_institution_ids":["https://openalex.org/I119439378"],"apc_list":null,"apc_paid":null,"fwci":0.8633,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.61456103,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2","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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9987999796867371,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9976999759674072,"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/matching","display_name":"Matching (statistics)","score":0.740420937538147},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7011456489562988},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6775429844856262},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6722682118415833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6158360242843628},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.5910608768463135},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5520287156105042},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5084670782089233},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.47615763545036316},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.4589591324329376},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37423935532569885},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3637232482433319},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19262000918388367},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.0987841784954071},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09380298852920532}],"concepts":[{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.740420937538147},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7011456489562988},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6775429844856262},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6722682118415833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6158360242843628},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.5910608768463135},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5520287156105042},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5084670782089233},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.47615763545036316},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.4589591324329376},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37423935532569885},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3637232482433319},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19262000918388367},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0987841784954071},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09380298852920532},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr.2008.4761029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761029","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:10.1.1.214.453","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.214.453","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/MoBT8.39.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/W1585936608","https://openalex.org/W1915985751","https://openalex.org/W1968934049","https://openalex.org/W1978836586","https://openalex.org/W2034869517","https://openalex.org/W2062903294","https://openalex.org/W2104974755","https://openalex.org/W2133255058","https://openalex.org/W2137017911","https://openalex.org/W2137341062","https://openalex.org/W2147514916","https://openalex.org/W6635096663"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W915438175"],"abstract_inverted_index":{"We":[0,65],"present":[1],"a":[2,40,51,71],"novel":[3],"operator":[4,68],"to":[5,59,117,121],"be":[6],"applied":[7],"at":[8,29],"raw":[9],"matching":[10,23,31,75],"costs":[11],"in":[12,57],"the":[13,45,55,67,85,103,106],"context":[14],"of":[15,54,123],"low":[16],"level":[17],"vision":[18],"tasks":[19],"such":[20],"as":[21],"stereo":[22,74],"or":[24,61],"optical":[25],"flow.":[26],"It":[27,48],"aims":[28],"improving":[30],"reliability":[32],"by":[33,69,101],"efficiently":[34],"modulating":[35],"pixel-wise":[36],"pairing":[37],"costs,":[38],"injecting":[39],"confidence":[41],"backed":[42],"bias":[43],"before":[44],"aggregation":[46],"step.":[47],"works":[49],"analyzing":[50],"noisy":[52],"estimate":[53],"correspondances":[56],"order":[58],"favor":[60],"prune":[62],"potential":[63],"matches.":[64],"test":[66],"developing":[70],"local,":[72],"realtime":[73],"algorithm":[76,104],"and":[77],"showing":[78],"that":[79],"our":[80,111],"solution":[81],"can":[82],"drastically":[83],"clean":[84],"resulting":[86],"depth":[87],"map":[88],"while":[89],"also":[90,98],"reducing":[91],"border":[92],"bleeding.":[93],"Its":[94],"good":[95],"performance":[96],"is":[97,115],"evaluated":[99],"quantitavely":[100],"testing":[102],"against":[105],"popular":[107],"Middlebury":[108],"benchmark":[109],"where":[110],"local":[112],"greedy":[113],"implementation":[114],"able":[116],"obtain":[118],"results":[119],"comparable":[120],"those":[122],"naive":[124],"global":[125],"approaches.":[126]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
