{"id":"https://openalex.org/W2912740778","doi":"https://doi.org/10.1109/cisp-bmei.2018.8633237","title":"Robust Variational Optical Flow Algorithm Based on Rolling Guided Filtering","display_name":"Robust Variational Optical Flow Algorithm Based on Rolling Guided Filtering","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2912740778","doi":"https://doi.org/10.1109/cisp-bmei.2018.8633237","mag":"2912740778"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2018.8633237","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2018.8633237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5090084919","display_name":"Junjie Wu","orcid":"https://orcid.org/0000-0002-4178-8952"},"institutions":[{"id":"https://openalex.org/I927504317","display_name":"Nanchang Hangkong University","ror":"https://ror.org/0369pvp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I927504317"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junjie Wu","raw_affiliation_strings":["School of Information Engineering, Nanchang Hangkong University, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Nanchang Hangkong University, Nanchang, China","institution_ids":["https://openalex.org/I927504317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047261565","display_name":"Xuebin Wang","orcid":"https://orcid.org/0000-0002-7894-1922"},"institutions":[{"id":"https://openalex.org/I927504317","display_name":"Nanchang Hangkong University","ror":"https://ror.org/0369pvp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I927504317"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuebing Wang","raw_affiliation_strings":["School of Measuring and Optical Engineering, Nanchang Hangkong University, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"School of Measuring and Optical Engineering, Nanchang Hangkong University, Nanchang, China","institution_ids":["https://openalex.org/I927504317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101838915","display_name":"Zhen Chen","orcid":"https://orcid.org/0000-0003-1020-0615"},"institutions":[{"id":"https://openalex.org/I927504317","display_name":"Nanchang Hangkong University","ror":"https://ror.org/0369pvp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I927504317"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Chen","raw_affiliation_strings":["School of Measuring and Optical Engineering, Nanchang Hangkong University, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"School of Measuring and Optical Engineering, Nanchang Hangkong University, Nanchang, China","institution_ids":["https://openalex.org/I927504317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035561676","display_name":"Congxuan Zhang","orcid":"https://orcid.org/0000-0003-1356-1205"},"institutions":[{"id":"https://openalex.org/I927504317","display_name":"Nanchang Hangkong University","ror":"https://ror.org/0369pvp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I927504317"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Congxuan Zhang","raw_affiliation_strings":["School of Measuring and Optical Engineering, Nanchang Hangkong University, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"School of Measuring and Optical Engineering, Nanchang Hangkong University, Nanchang, China","institution_ids":["https://openalex.org/I927504317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5090084919"],"corresponding_institution_ids":["https://openalex.org/I927504317"],"apc_list":null,"apc_paid":null,"fwci":0.2127,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.58668911,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9961000084877014,"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":0.9891999959945679,"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/optical-flow","display_name":"Optical flow","score":0.7775794267654419},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6595193147659302},{"id":"https://openalex.org/keywords/bilateral-filter","display_name":"Bilateral filter","score":0.6137964129447937},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5801146626472473},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5401891469955444},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49895501136779785},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4835650622844696},{"id":"https://openalex.org/keywords/gaussian-filter","display_name":"Gaussian filter","score":0.45420145988464355},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.4371546506881714},{"id":"https://openalex.org/keywords/motion-field","display_name":"Motion field","score":0.4125380218029022},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4055609405040741},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12751677632331848}],"concepts":[{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.7775794267654419},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6595193147659302},{"id":"https://openalex.org/C156140930","wikidata":"https://www.wikidata.org/wiki/Q860417","display_name":"Bilateral filter","level":3,"score":0.6137964129447937},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5801146626472473},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5401891469955444},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49895501136779785},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4835650622844696},{"id":"https://openalex.org/C65892221","wikidata":"https://www.wikidata.org/wiki/Q1113935","display_name":"Gaussian filter","level":3,"score":0.45420145988464355},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.4371546506881714},{"id":"https://openalex.org/C124774092","wikidata":"https://www.wikidata.org/wiki/Q6917782","display_name":"Motion field","level":3,"score":0.4125380218029022},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4055609405040741},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12751677632331848},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei.2018.8633237","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2018.8633237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8600000143051147}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W178406657","https://openalex.org/W1578285471","https://openalex.org/W1975326224","https://openalex.org/W2011340308","https://openalex.org/W2033959528","https://openalex.org/W2076138822","https://openalex.org/W2111533989","https://openalex.org/W2113989386","https://openalex.org/W2118877769","https://openalex.org/W2132529238","https://openalex.org/W2153101587","https://openalex.org/W2155302366","https://openalex.org/W2231495490","https://openalex.org/W2291189034","https://openalex.org/W4256361765","https://openalex.org/W6677548441","https://openalex.org/W6986252493"],"related_works":["https://openalex.org/W1501297619","https://openalex.org/W2354637046","https://openalex.org/W2053820737","https://openalex.org/W2052217765","https://openalex.org/W2120943489","https://openalex.org/W1484667368","https://openalex.org/W4286646204","https://openalex.org/W2030154815","https://openalex.org/W2051121715","https://openalex.org/W1967024344"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,129,144],"solve":[3],"the":[4,44,55,63,67,88,95,105,110,115,131,146,180,203,208],"excessive":[5],"smoothness":[6],"caused":[7],"by":[8],"existing":[9],"optical":[10,38,82,107,132,159,209],"flow":[11,39,83,108,116,133,160,210],"algorithms":[12],"within":[13],"motion":[14,198],"edge":[15,191],"regions":[16],"of":[17,66,104,157,207],"images":[18],"under":[19],"difficult":[20,195],"scenes,":[21],"such":[22],"as":[23],"noise,":[24],"illumination":[25],"changes":[26],"and":[27,32,62,114,138,149,170,197,205],"shadows,":[28],"occlusion,":[29],"large":[30],"displacement,":[31],"non-rigid":[33],"motion,":[34],"a":[35,74,101,189],"robust":[36],"variational":[37],"estimation":[40,134],"model":[41,85,164],"based":[42,86],"on":[43,87],"rolling":[45,56,68,89,124],"guidance":[46,57,69,90,125],"filter":[47,58,70,91,126],"has":[48,188],"been":[49],"proposed":[50,147,181],"in":[51,194],"this":[52],"paper.":[53],"Firstly,":[54],"strategy":[59],"is":[60,71,92,98,118,127],"presented,":[61],"energy":[64,96],"function":[65,97],"designed.":[72],"Secondly,":[73],"non-local":[75,166],"total":[76,154],"variation":[77,155],"with":[78,165,184],"L1":[79],"norm":[80],"(TV-Ll)":[81],"computational":[84],"constructed.":[93],"Finally,":[94],"converted":[99],"into":[100],"linear":[102],"minimization":[103],"TV-Ll":[106],"through":[109],"multi-resolution":[111],"pyramid":[112],"refinement,":[113],"field":[117],"computed":[119],"at":[120],"each":[121],"layer.":[122],"The":[123,136,175],"used":[128],"optimize":[130],"alternately.":[135],"MPI-Sintel":[137],"KITTI":[139],"test":[140],"sequences":[141],"are":[142],"employed":[143],"evaluate":[145],"algorithm":[148],"other":[150,185],"state-of-the-art":[151],"methods,":[152,187],"including":[153],"regularization":[156],"local-global":[158],"(CLG-":[161],"TV),":[162],"classic":[163],"constraint":[167],"(Classic+":[168],"NL),":[169],"nearest":[171],"neighbor":[172],"fields":[173],"(NNF).":[174],"experimental":[176],"results":[177],"showed":[178],"that":[179],"algorithm,":[182],"compared":[183],"contrast":[186],"better":[190],"protection":[192],"effect":[193],"scenes":[196],"forms,":[199],"which":[200],"effectively":[201],"improves":[202],"accuracy":[204],"robustness":[206],"estimation.":[211]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}