{"id":"https://openalex.org/W2124202434","doi":"https://doi.org/10.1109/cvpr.2012.6247705","title":"Cross-based local multipoint filtering","display_name":"Cross-based local multipoint filtering","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2124202434","doi":"https://doi.org/10.1109/cvpr.2012.6247705","mag":"2124202434"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2012.6247705","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247705","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and 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/A5084252480","display_name":"Jiangbo Lu","orcid":"https://orcid.org/0000-0002-0048-3140"},"institutions":[{"id":"https://openalex.org/I4210108443","display_name":"Advanced Digital Sciences Center","ror":"https://ror.org/01xaqx887","country_code":"SG","type":"facility","lineage":["https://openalex.org/I4210108443"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Jiangbo Lu","raw_affiliation_strings":["Advanced Digital Sciences Center, Singapore","Advanced Digital Sciences Center"],"affiliations":[{"raw_affiliation_string":"Advanced Digital Sciences Center, Singapore","institution_ids":["https://openalex.org/I4210108443"]},{"raw_affiliation_string":"Advanced Digital Sciences Center","institution_ids":["https://openalex.org/I4210108443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036075145","display_name":"Keyang Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keyang Shi","raw_affiliation_strings":["Sun Yat-Sen University, China","Sun Yat-Sen University"],"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Sun Yat-Sen University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108106727","display_name":"Dongbo Min","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108443","display_name":"Advanced Digital Sciences Center","ror":"https://ror.org/01xaqx887","country_code":"SG","type":"facility","lineage":["https://openalex.org/I4210108443"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Dongbo Min","raw_affiliation_strings":["Advanced Digital Sciences Center, Singapore","Advanced Digital Sciences Center"],"affiliations":[{"raw_affiliation_string":"Advanced Digital Sciences Center, Singapore","institution_ids":["https://openalex.org/I4210108443"]},{"raw_affiliation_string":"Advanced Digital Sciences Center","institution_ids":["https://openalex.org/I4210108443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092355007","display_name":"Liang Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Lin","raw_affiliation_strings":["Sun Yat-Sen University, China","Sun Yat-Sen University"],"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Sun Yat-Sen University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005908865","display_name":"N. Minh","orcid":"https://orcid.org/0000-0001-5132-4986"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. N. Do","raw_affiliation_strings":["University of Illinois, Urbana-Champaign, USA","University of Illinois at Urbana Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois, Urbana-Champaign, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Illinois at Urbana Champaign","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5084252480"],"corresponding_institution_ids":["https://openalex.org/I4210108443"],"apc_list":null,"apc_paid":null,"fwci":12.6292,"has_fulltext":false,"cited_by_count":149,"citation_normalized_percentile":{"value":0.99069701,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"430","last_page":"437"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998000264167786,"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":0.9983000159263611,"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/smoothing","display_name":"Smoothing","score":0.6735748648643494},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5981070399284363},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5503661632537842},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5111086964607239},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.5003221035003662},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4823455214500427},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.44069257378578186},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4362793564796448},{"id":"https://openalex.org/keywords/bilateral-filter","display_name":"Bilateral filter","score":0.42738062143325806},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42649608850479126},{"id":"https://openalex.org/keywords/kernel-regression","display_name":"Kernel regression","score":0.4255891442298889},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3285553455352783},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3094189167022705},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.254264771938324}],"concepts":[{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6735748648643494},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5981070399284363},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5503661632537842},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5111086964607239},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.5003221035003662},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4823455214500427},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.44069257378578186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4362793564796448},{"id":"https://openalex.org/C156140930","wikidata":"https://www.wikidata.org/wiki/Q860417","display_name":"Bilateral filter","level":3,"score":0.42738062143325806},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42649608850479126},{"id":"https://openalex.org/C200695384","wikidata":"https://www.wikidata.org/wiki/Q1739319","display_name":"Kernel regression","level":3,"score":0.4255891442298889},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3285553455352783},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3094189167022705},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.254264771938324},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2012.6247705","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247705","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1968799614","https://openalex.org/W1973207753","https://openalex.org/W1995194116","https://openalex.org/W1996126470","https://openalex.org/W2035964202","https://openalex.org/W2082253268","https://openalex.org/W2097073572","https://openalex.org/W2099244020","https://openalex.org/W2113873920","https://openalex.org/W2122275806","https://openalex.org/W2123782500","https://openalex.org/W2132541137","https://openalex.org/W2133924726","https://openalex.org/W2143425433","https://openalex.org/W2144531167","https://openalex.org/W2146578165","https://openalex.org/W2160451035","https://openalex.org/W2160715448","https://openalex.org/W2160956336","https://openalex.org/W2162618331","https://openalex.org/W4244324388","https://openalex.org/W4256114533","https://openalex.org/W6670894740","https://openalex.org/W6676561565","https://openalex.org/W6678126982","https://openalex.org/W6678827375","https://openalex.org/W6681426593","https://openalex.org/W6683488002"],"related_works":["https://openalex.org/W2913290143","https://openalex.org/W1998728244","https://openalex.org/W233850645","https://openalex.org/W2082304850","https://openalex.org/W1984713107","https://openalex.org/W2978930127","https://openalex.org/W4285172075","https://openalex.org/W4386952422","https://openalex.org/W2998590421","https://openalex.org/W2094364519"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,18,35,40,48,72,82,105],"cross-based":[4,106],"framework":[5,80],"of":[6,24,37,50,132,141],"performing":[7],"local":[8,19,42,107],"multipoint":[9,20,29,51],"filtering":[10,15,79,88,115,134],"efficiently.":[11],"We":[12,137],"formulate":[13],"the":[14,32,59,64,77,113,126,133,139,142],"process":[16],"as":[17],"regression":[21,66],"problem,":[22],"consisting":[23],"two":[25,127],"main":[26,128],"steps:":[27],"1)":[28],"estimation,":[30],"calculating":[31],"estimates":[33,52],"for":[34,54],"set":[36],"points":[38],"within":[39],"shape-adaptive":[41],"support,":[43],"and":[44,99,110,161],"2)":[45],"aggregation,":[46],"fusing":[47],"number":[49],"available":[53],"each":[55],"point.":[56],"Compared":[57],"with":[58,125],"guided":[60],"filter":[61],"that":[62],"applies":[63],"linear":[65,101],"to":[67],"all":[68],"pixels":[69],"covered":[70],"by":[71],"fixed-sized":[73],"square":[74],"window":[75],"non-adaptively,":[76],"proposed":[78,114,143],"is":[81],"more":[83],"generalized":[84],"form.":[85],"Two":[86],"specific":[87],"methods":[89,116],"are":[90],"instantiated":[91],"from":[92],"this":[93],"framework,":[94],"based":[95],"on":[96],"piecewise":[97,100],"constant":[98],"modeling,":[102],"respectively.":[103],"Leveraging":[104],"support":[108],"representation":[109],"integration":[111],"technique,":[112],"achieve":[117],"theoretically":[118],"strong":[119],"results":[120],"in":[121,145],"an":[122],"efficient":[123],"manner,":[124],"steps'":[129],"complexity":[130],"independent":[131],"kernel":[135],"size.":[136],"demonstrate":[138],"strength":[140],"filters":[144],"various":[146],"applications":[147],"including":[148],"stereo":[149],"matching,":[150],"depth":[151],"map":[152],"enhancement,":[153,160],"edge-preserving":[154],"smoothing,":[155],"color":[156],"image":[157],"denoising,":[158],"detail":[159],"flash/no-flash":[162],"denoising.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":18},{"year":2017,"cited_by_count":23},{"year":2016,"cited_by_count":17},{"year":2015,"cited_by_count":21},{"year":2014,"cited_by_count":16},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}