{"id":"https://openalex.org/W2065851493","doi":"https://doi.org/10.4304/jcp.9.6.1491-1496","title":"Stereo Matching Using Iterative Dynamic Programming Based on Color Segmentation of Images","display_name":"Stereo Matching Using Iterative Dynamic Programming Based on Color Segmentation of Images","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2065851493","doi":"https://doi.org/10.4304/jcp.9.6.1491-1496","mag":"2065851493"},"language":"en","primary_location":{"id":"doi:10.4304/jcp.9.6.1491-1496","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.9.6.1491-1496","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-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/A5105109723","display_name":"Fuzhi Wang","orcid":"https://orcid.org/0009-0004-8123-8156"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fuzhi Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021792103","display_name":"Changlin Song","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Changlin Song","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101821085","display_name":"Qiang Du","orcid":"https://orcid.org/0000-0002-5033-6405"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qiang Du","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12836783,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"6","first_page":null,"last_page":null},"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":0.9966999888420105,"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/T13579","display_name":"Image and Video Stabilization","score":0.9962000250816345,"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/computer-science","display_name":"Computer science","score":0.767767071723938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6806502342224121},{"id":"https://openalex.org/keywords/dynamic-programming","display_name":"Dynamic programming","score":0.6535940766334534},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6346583366394043},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5656980276107788},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5644052028656006},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37431085109710693},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18428459763526917},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1749083399772644}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.767767071723938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6806502342224121},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.6535940766334534},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6346583366394043},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5656980276107788},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5644052028656006},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37431085109710693},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18428459763526917},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1749083399772644},{"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:10.4304/jcp.9.6.1491-1496","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.9.6.1491-1496","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8799999952316284,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1578305628","https://openalex.org/W1604112931","https://openalex.org/W1908164922","https://openalex.org/W2062111756","https://openalex.org/W2065923953","https://openalex.org/W2067191022","https://openalex.org/W2102151593","https://openalex.org/W2104974755","https://openalex.org/W2106196892","https://openalex.org/W2107017043","https://openalex.org/W2123782500","https://openalex.org/W2151646056","https://openalex.org/W2168118663","https://openalex.org/W2187250581","https://openalex.org/W2415412328"],"related_works":["https://openalex.org/W1972035260","https://openalex.org/W4379231730","https://openalex.org/W2794488505","https://openalex.org/W4301594054","https://openalex.org/W4324315429","https://openalex.org/W3125889879","https://openalex.org/W2501551404","https://openalex.org/W4385583601","https://openalex.org/W4366829857","https://openalex.org/W2376117328"],"abstract_inverted_index":{"The":[0,44,113,129],"traditional":[1,70],"dynamic":[2,55,71],"programming":[3,72],"stereo":[4,23,52,73],"matching":[5,24,53,74],"algorithms":[6],"usually":[7],"adopt":[8],"the":[9,14,20,26,39,47,51,67,77,98,121,133,140,148],"disparity":[10,27,48,85],"assumption":[11,28,49],"based":[12,29,125],"on":[13,30,126],"intensity":[15,83],"change":[16],"of":[17,22,41,69,82,120],"images;":[18],"With":[19],"development":[21],"technique,":[25],"\u00a0image":[31],"color":[32,127],"segmentation":[33],"is":[34,80,105],"proved":[35],"to":[36,110],"meet":[37],"better":[38],"need":[40],"true":[42],"scenes.":[43],"paper":[45],"introduces":[46],"into":[50],"using":[54],"programming,":[56],"proposes":[57],"a":[58],"new":[59],"global":[60],"energy":[61,78,114,142],"function,":[62],"which":[63],"not":[64],"only":[65],"resolves":[66],"problem":[68],"algorthm":[75],"that":[76,132],"function":[79,101,115,143],"short":[81],"and":[84],"constraints":[86],"between":[87],"scan":[88],"lines":[89],"but":[90,146],"also":[91],"can":[92],"be":[93],"computed":[94],"more":[95],"exactly":[96],"because":[97,119],"adopted":[99],"dissimillarity":[100],"propsed":[102],"by":[103],"Birchfield":[104],"extended":[106],"from":[107],"2-connect":[108],"neighborhood":[109],"8-connect":[111],"neighborhood.":[112],"\u00a0can":[116],"converge":[117],"fast":[118],"proposed":[122,134],"pruning":[123],"algorithm":[124,145],"segmentation.":[128],"experiments":[130],"show":[131],"method":[135],"produces":[136],"competitive":[137],"results":[138],"with":[139],"2-dimensional":[141],"minimized":[144],"has":[147],"much":[149],"lower":[150],"computing":[151],"cost":[152],"than":[153],"them.":[154]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}