{"id":"https://openalex.org/W2735608564","doi":"https://doi.org/10.1109/icnidc.2016.7974623","title":"Improved belief propagation with istinctiveness measure for stereo matching","display_name":"Improved belief propagation with istinctiveness measure for stereo matching","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2735608564","doi":"https://doi.org/10.1109/icnidc.2016.7974623","mag":"2735608564"},"language":"en","primary_location":{"id":"doi:10.1109/icnidc.2016.7974623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnidc.2016.7974623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)","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/A5025629589","display_name":"Yingnan Geng","orcid":"https://orcid.org/0009-0002-8101-1686"},"institutions":[{"id":"https://openalex.org/I4210143016","display_name":"Changchun Institute of Technology","ror":"https://ror.org/03r6wam78","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210143016"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingnan Geng","raw_affiliation_strings":["College of Electrical and Information Engineering, Changchun Institute of Technology, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Changchun Institute of Technology, Changchun, China","institution_ids":["https://openalex.org/I4210143016"]}]},{"author_position":"last","author":{"id":null,"display_name":"Xiuyan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210143016","display_name":"Changchun Institute of Technology","ror":"https://ror.org/03r6wam78","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210143016"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuyan Wang","raw_affiliation_strings":["College of Electrical and Information Engineering, Changchun Institute of Technology, Changchun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Changchun Institute of Technology, Changchun, China","institution_ids":["https://openalex.org/I4210143016"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210143016"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2279484,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"51","issue":null,"first_page":"491","last_page":"494"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991999864578247,"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":0.9987999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/belief-propagation","display_name":"Belief propagation","score":0.7695870995521545},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.7531871795654297},{"id":"https://openalex.org/keywords/optimal-distinctiveness-theory","display_name":"Optimal distinctiveness theory","score":0.7205309271812439},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6635541915893555},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.580800473690033},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5671758651733398},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5605723857879639},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5577514171600342},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5435537695884705},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5071659088134766},{"id":"https://openalex.org/keywords/blossom-algorithm","display_name":"Blossom algorithm","score":0.5013096332550049},{"id":"https://openalex.org/keywords/computer-stereo-vision","display_name":"Computer stereo vision","score":0.47696197032928467},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4705163538455963},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4372290372848511},{"id":"https://openalex.org/keywords/template-matching","display_name":"Template matching","score":0.421608567237854},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41621237993240356},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32551050186157227},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.32379573583602905},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.08599969744682312}],"concepts":[{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.7695870995521545},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7531871795654297},{"id":"https://openalex.org/C47385372","wikidata":"https://www.wikidata.org/wiki/Q7098943","display_name":"Optimal distinctiveness theory","level":2,"score":0.7205309271812439},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6635541915893555},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.580800473690033},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5671758651733398},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5605723857879639},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5577514171600342},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5435537695884705},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5071659088134766},{"id":"https://openalex.org/C61455927","wikidata":"https://www.wikidata.org/wiki/Q1030529","display_name":"Blossom algorithm","level":3,"score":0.5013096332550049},{"id":"https://openalex.org/C31451488","wikidata":"https://www.wikidata.org/wiki/Q5157586","display_name":"Computer stereo vision","level":3,"score":0.47696197032928467},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4705163538455963},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4372290372848511},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.421608567237854},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41621237993240356},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32551050186157227},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.32379573583602905},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.08599969744682312},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnidc.2016.7974623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnidc.2016.7974623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)","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":14,"referenced_works":["https://openalex.org/W2019599312","https://openalex.org/W2020999234","https://openalex.org/W2039835233","https://openalex.org/W2042182842","https://openalex.org/W2104974755","https://openalex.org/W2112421488","https://openalex.org/W2132219293","https://openalex.org/W2137017911","https://openalex.org/W2143516773","https://openalex.org/W2147514916","https://openalex.org/W2150737612","https://openalex.org/W2151646056","https://openalex.org/W6655383422","https://openalex.org/W6679506782"],"related_works":["https://openalex.org/W4225552138","https://openalex.org/W2032875729","https://openalex.org/W3046185751","https://openalex.org/W2075142972","https://openalex.org/W2389509777","https://openalex.org/W2380652119","https://openalex.org/W2518534623","https://openalex.org/W2350271149","https://openalex.org/W2381305969","https://openalex.org/W2540210416"],"abstract_inverted_index":{"Stereo":[0],"matching":[1,51,63,71],"is":[2,31,43,67,79,91],"one":[3,32],"of":[4,33,49,52,76,97],"the":[5,34,53,59,70,74,80,85,95,105,111],"most":[6],"active":[7],"research":[8],"areas":[9],"in":[10,84],"computer":[11],"vision.":[12],"Many":[13],"algorithms":[14,17,20,36],"including":[15],"local":[16],"and":[18,88],"global":[19,26],"have":[21],"been":[22],"proposed.":[23],"As":[24],"a":[25,45],"algorithm,":[27],"belief":[28],"propagation":[29],"(BP)":[30],"best":[35],"for":[37],"stereo":[38],"matching.":[39],"But":[40],"BP":[41,113],"algorithm":[42],"still":[44],"difficult":[46],"problem":[47],"because":[48],"ambiguous":[50],"edge":[54,98],"points.":[55],"In":[56],"this":[57],"work,":[58],"priori":[60],"on":[61],"both":[62],"image":[64,87],"pairs":[65],"appearances":[66],"considered":[68],"during":[69],"process.":[72],"And":[73],"distinctiveness":[75],"points,":[77],"which":[78],"difference":[81],"between":[82],"points":[83,99],"reference":[86],"target":[89],"image,":[90],"introduced":[92],"to":[93],"reflect":[94],"prior":[96],"appearances.":[100],"Experimental":[101],"results":[102],"show":[103],"that":[104],"proposed":[106],"method":[107],"performs":[108],"better":[109],"than":[110],"conventional":[112],"algorithm.":[114]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}