{"id":"https://openalex.org/W2589058957","doi":"https://doi.org/10.1142/s0219691317500229","title":"Integration of optical flow and Multi-Path-Viterbi algorithm for stereo vision","display_name":"Integration of optical flow and Multi-Path-Viterbi algorithm for stereo vision","publication_year":2017,"publication_date":"2017-02-16","ids":{"openalex":"https://openalex.org/W2589058957","doi":"https://doi.org/10.1142/s0219691317500229","mag":"2589058957"},"language":"en","primary_location":{"id":"doi:10.1142/s0219691317500229","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219691317500229","pdf_url":null,"source":{"id":"https://openalex.org/S56986848","display_name":"International Journal of Wavelets Multiresolution and Information Processing","issn_l":"0219-6913","issn":["0219-6913","1793-690X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Wavelets, Multiresolution and Information Processing","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/A5039340206","display_name":"Qiwei Xie","orcid":"https://orcid.org/0000-0002-4209-7192"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]},{"id":"https://openalex.org/I4840577","display_name":"Toyota Technological Institute","ror":"https://ror.org/001hv0k59","country_code":"JP","type":"education","lineage":["https://openalex.org/I4840577"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN","JP"],"is_corresponding":true,"raw_author_name":"Qiwei Xie","raw_affiliation_strings":["Data Mining Lab, School of Economics and Management, Beijing University of Technology, Beijing, P. R. China","Institute of Automation, Chinese Academy of Sciences, Beijing, P. R. China","Toyota Technological Institute, Nagoya, Aichi, Japan"],"affiliations":[{"raw_affiliation_string":"Data Mining Lab, School of Economics and Management, Beijing University of Technology, Beijing, P. R. China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, P. R. China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Toyota Technological Institute, Nagoya, Aichi, Japan","institution_ids":["https://openalex.org/I4840577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101417508","display_name":"Qian Long","orcid":"https://orcid.org/0000-0002-8059-2936"},"institutions":[{"id":"https://openalex.org/I4840577","display_name":"Toyota Technological Institute","ror":"https://ror.org/001hv0k59","country_code":"JP","type":"education","lineage":["https://openalex.org/I4840577"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I2801168720","display_name":"Yunnan Observatories","ror":"https://ror.org/02f42pw58","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2801168720","https://openalex.org/I4210164580"]}],"countries":["CN","JP"],"is_corresponding":false,"raw_author_name":"Qian Long","raw_affiliation_strings":["Toyota Technological Institute, Nagoya, Aichi, Japan","Yunnan Observatories, Chinese Academy of Sciences, Kunming, P. R. China"],"affiliations":[{"raw_affiliation_string":"Toyota Technological Institute, Nagoya, Aichi, Japan","institution_ids":["https://openalex.org/I4840577"]},{"raw_affiliation_string":"Yunnan Observatories, Chinese Academy of Sciences, Kunming, P. R. China","institution_ids":["https://openalex.org/I2801168720","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112282385","display_name":"Seiichi Mita","orcid":null},"institutions":[{"id":"https://openalex.org/I4840577","display_name":"Toyota Technological Institute","ror":"https://ror.org/001hv0k59","country_code":"JP","type":"education","lineage":["https://openalex.org/I4840577"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Seiichi Mita","raw_affiliation_strings":["Toyota Technological Institute, Nagoya, Aichi, Japan"],"affiliations":[{"raw_affiliation_string":"Toyota Technological Institute, Nagoya, Aichi, Japan","institution_ids":["https://openalex.org/I4840577"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5039340206"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I37796252","https://openalex.org/I4210094879","https://openalex.org/I4840577"],"apc_list":null,"apc_paid":null,"fwci":0.2771,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.62179536,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"15","issue":"03","first_page":"1750022","last_page":"1750022"},"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":0.9962000250816345,"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"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.986299991607666,"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/viterbi-algorithm","display_name":"Viterbi algorithm","score":0.794231653213501},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.673675537109375},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6494772434234619},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6444514989852905},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.53550785779953},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4765634834766388},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44413599371910095},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4253569543361664},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.41362911462783813},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.3845335841178894},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.259217768907547},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21599087119102478},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20535191893577576}],"concepts":[{"id":"https://openalex.org/C60582962","wikidata":"https://www.wikidata.org/wiki/Q83886","display_name":"Viterbi algorithm","level":3,"score":0.794231653213501},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.673675537109375},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6494772434234619},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6444514989852905},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.53550785779953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4765634834766388},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44413599371910095},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4253569543361664},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.41362911462783813},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.3845335841178894},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.259217768907547},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21599087119102478},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20535191893577576},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219691317500229","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219691317500229","pdf_url":null,"source":{"id":"https://openalex.org/S56986848","display_name":"International Journal of Wavelets Multiresolution and Information Processing","issn_l":"0219-6913","issn":["0219-6913","1793-690X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Wavelets, Multiresolution and Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5705954559","display_name":null,"funder_award_id":"61673381","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1963629711","https://openalex.org/W1978019339","https://openalex.org/W2000594266","https://openalex.org/W2040167422","https://openalex.org/W2092663520","https://openalex.org/W2103559027","https://openalex.org/W2104974755","https://openalex.org/W2117248802","https://openalex.org/W2118246710","https://openalex.org/W2133665775","https://openalex.org/W2140824929","https://openalex.org/W2142384583","https://openalex.org/W2144476963","https://openalex.org/W2149208040","https://openalex.org/W4229650096","https://openalex.org/W4292363360"],"related_works":["https://openalex.org/W2062804535","https://openalex.org/W2148710370","https://openalex.org/W1987061770","https://openalex.org/W2281825358","https://openalex.org/W2993094530","https://openalex.org/W2097654368","https://openalex.org/W1777183400","https://openalex.org/W4297302281","https://openalex.org/W1554908322","https://openalex.org/W3153752017"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,15,27,49,75],"novel":[4],"stereo":[5],"matching":[6],"algorithm":[7,100],"to":[8,61,84,97],"solve":[9],"environment":[10],"sensing":[11],"problems.":[12],"It":[13],"integrates":[14],"non-convex":[16,23,31],"optical":[17,24,70],"flow":[18,25,71],"and":[19,48,72,89],"Viterbi":[20,59,73],"process.":[21],"The":[22],"employs":[26],"new":[28,76],"adaptive":[29],"weighted":[30],"Total":[32],"Generalized":[33],"Variation":[34],"(TGV)":[35],"model,":[36],"which":[37],"can":[38],"obtain":[39],"sharp":[40,87],"disparity":[41,88],"maps.":[42],"Structural":[43],"similarity,":[44],"total":[45],"variation":[46],"constraint,":[47],"specific":[50],"merging":[51],"strategy":[52],"are":[53,95],"combined":[54],"with":[55,101],"the":[56,63,66,69,108],"4":[57],"bi-directional":[58],"process":[60],"improve":[62],"robustness.":[64],"In":[65],"fusion":[67],"of":[68,110],"process,":[74],"occlusion":[77],"processing":[78],"method":[79],"is":[80],"incorporated":[81],"in":[82],"order":[83],"get":[85],"more":[86,90],"robust":[91],"result.":[92],"Extensive":[93],"experiments":[94],"conducted":[96],"compare":[98],"this":[99],"other":[102],"state-of-the-art":[103],"methods.":[104],"Experimental":[105],"results":[106],"show":[107],"superiority":[109],"our":[111],"algorithm.":[112]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}
