{"id":"https://openalex.org/W2126150726","doi":"https://doi.org/10.3390/s150820894","title":"Reliable Fusion of Stereo Matching and Depth Sensor for High Quality Dense Depth Maps","display_name":"Reliable Fusion of Stereo Matching and Depth Sensor for High Quality Dense Depth Maps","publication_year":2015,"publication_date":"2015-08-21","ids":{"openalex":"https://openalex.org/W2126150726","doi":"https://doi.org/10.3390/s150820894","mag":"2126150726","pmid":"https://pubmed.ncbi.nlm.nih.gov/26308003"},"language":"en","primary_location":{"id":"doi:10.3390/s150820894","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s150820894","pdf_url":"https://www.mdpi.com/1424-8220/15/8/20894/pdf?version=1440156180","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/15/8/20894/pdf?version=1440156180","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100748634","display_name":"Jing Liu","orcid":"https://orcid.org/0000-0002-2217-0372"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jing Liu","raw_affiliation_strings":["The Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute ofComputing Technology, Chinese Academy of Sciences, No.6 Kexueyuan South Road Zhongguancun, Haidian District, Beijing 100190, China","University of Chinese Academy of Sciences, No.19A Yuquan Road, Beijing 100049, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute ofComputing Technology, Chinese Academy of Sciences, No.6 Kexueyuan South Road Zhongguancun, Haidian District, Beijing 100190, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, No.19A Yuquan Road, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101970013","display_name":"Chunpeng Li","orcid":"https://orcid.org/0000-0002-8336-658X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunpeng Li","raw_affiliation_strings":["The Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute ofComputing Technology, Chinese Academy of Sciences, No.6 Kexueyuan South Road Zhongguancun, Haidian District, Beijing 100190, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute ofComputing Technology, Chinese Academy of Sciences, No.6 Kexueyuan South Road Zhongguancun, Haidian District, Beijing 100190, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100956969","display_name":"Xuefeng Fan","orcid":"https://orcid.org/0000-0003-1932-725X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuefeng Fan","raw_affiliation_strings":["The Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute ofComputing Technology, Chinese Academy of Sciences, No.6 Kexueyuan South Road Zhongguancun, Haidian District, Beijing 100190, China","University of Chinese Academy of Sciences, No.19A Yuquan Road, Beijing 100049, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute ofComputing Technology, Chinese Academy of Sciences, No.6 Kexueyuan South Road Zhongguancun, Haidian District, Beijing 100190, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, No.19A Yuquan Road, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100613098","display_name":"Zhaoqi Wang","orcid":"https://orcid.org/0000-0003-0894-8165"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoqi Wang","raw_affiliation_strings":["The Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute ofComputing Technology, Chinese Academy of Sciences, No.6 Kexueyuan South Road Zhongguancun, Haidian District, Beijing 100190, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute ofComputing Technology, Chinese Academy of Sciences, No.6 Kexueyuan South Road Zhongguancun, Haidian District, Beijing 100190, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100748634"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176","https://openalex.org/I4210165038"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.1229,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.84926784,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"15","issue":"8","first_page":"20894","last_page":"20924"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"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":0.9983999729156494,"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/fusion","display_name":"Fusion","score":0.7081568241119385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6077831983566284},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6021575331687927},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5808185935020447},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.5526813864707947},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5475396513938904},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5334190726280212},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4391821324825287},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3608871102333069},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.35296350717544556},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1640525758266449},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07094800472259521}],"concepts":[{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.7081568241119385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6077831983566284},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6021575331687927},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5808185935020447},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.5526813864707947},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5475396513938904},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5334190726280212},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4391821324825287},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3608871102333069},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.35296350717544556},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1640525758266449},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07094800472259521},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s150820894","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s150820894","pdf_url":"https://www.mdpi.com/1424-8220/15/8/20894/pdf?version=1440156180","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:26308003","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26308003","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:f3834d6e9311471ab390e255b32a4b25","is_oa":true,"landing_page_url":"https://doaj.org/article/f3834d6e9311471ab390e255b32a4b25","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 15, Iss 8, Pp 20894-20924 (2015)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/15/8/20894/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s150820894","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:4570453","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4570453","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s150820894","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s150820894","pdf_url":"https://www.mdpi.com/1424-8220/15/8/20894/pdf?version=1440156180","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2820666520","display_name":null,"funder_award_id":"61300131","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4243412236","display_name":null,"funder_award_id":"863 Program","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"},{"id":"https://openalex.org/F4320335773","display_name":"National High-tech Research and Development Program","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2126150726.pdf","grobid_xml":"https://content.openalex.org/works/W2126150726.grobid-xml"},"referenced_works_count":60,"referenced_works":["https://openalex.org/W247286828","https://openalex.org/W1910044562","https://openalex.org/W1940891071","https://openalex.org/W1964057156","https://openalex.org/W1968799614","https://openalex.org/W1973871580","https://openalex.org/W1979235371","https://openalex.org/W1980569701","https://openalex.org/W1984844207","https://openalex.org/W1987411195","https://openalex.org/W1998372407","https://openalex.org/W2003822483","https://openalex.org/W2014345353","https://openalex.org/W2017047541","https://openalex.org/W2030300879","https://openalex.org/W2039580825","https://openalex.org/W2041094000","https://openalex.org/W2043935403","https://openalex.org/W2059636462","https://openalex.org/W2083514178","https://openalex.org/W2084156819","https://openalex.org/W2084853746","https://openalex.org/W2093117706","https://openalex.org/W2099712288","https://openalex.org/W2100435576","https://openalex.org/W2101309634","https://openalex.org/W2104599718","https://openalex.org/W2104620097","https://openalex.org/W2104974755","https://openalex.org/W2106813532","https://openalex.org/W2109945199","https://openalex.org/W2123782500","https://openalex.org/W2129317273","https://openalex.org/W2133255058","https://openalex.org/W2134227763","https://openalex.org/W2137504719","https://openalex.org/W2140836349","https://openalex.org/W2141994388","https://openalex.org/W2143516773","https://openalex.org/W2146749082","https://openalex.org/W2148534289","https://openalex.org/W2153396823","https://openalex.org/W2155479981","https://openalex.org/W2156226240","https://openalex.org/W2157394577","https://openalex.org/W2162366888","https://openalex.org/W2163033228","https://openalex.org/W2165386439","https://openalex.org/W2167667767","https://openalex.org/W2167749154","https://openalex.org/W2293707887","https://openalex.org/W6609396889","https://openalex.org/W6641243840","https://openalex.org/W6660133353","https://openalex.org/W6665582293","https://openalex.org/W6676600194","https://openalex.org/W6683202013","https://openalex.org/W6684497595","https://openalex.org/W6684694901","https://openalex.org/W6696612828"],"related_works":["https://openalex.org/W1972035260","https://openalex.org/W2121524756","https://openalex.org/W782553550","https://openalex.org/W1987967678","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2031175860","https://openalex.org/W2152662039"],"abstract_inverted_index":{"Depth":[0],"estimation":[1],"is":[2,35,79,106,120,138],"a":[3,14,82,102,131,141],"classical":[4],"problem":[5],"in":[6,27,46,96,114,190],"computer":[7],"vision,":[8],"which":[9,177],"typically":[10],"relies":[11],"on":[12,173],"either":[13],"depth":[15,22,55,65,74,132],"sensor":[16,23,56,66,133],"or":[17,150],"stereo":[18,33,39,61],"matching":[19,34,40,62],"alone.":[20],"The":[21],"provides":[24,166],"real-time":[25],"estimates":[26],"repetitive":[28,97],"and":[29,50,63,92,98,117],"textureless":[30,99],"regions":[31,49],"where":[32,53],"not":[36],"effective.":[37],"However,":[38],"can":[41],"obtain":[42],"more":[43,121],"accurate":[44],"results":[45],"rich":[47],"texture":[48,77],"object":[51],"boundaries":[52],"the":[54,64,73,86,110,154,160,174,191],"often":[57],"fails.":[58],"We":[59],"fuse":[60],"using":[67],"their":[68],"complementary":[69],"characteristics":[70],"to":[71,84,93,108,123,144,153],"improve":[72],"estimation.":[75],"Here,":[76],"information":[78,128],"incorporated":[80],"as":[81,134,140],"constraint":[83,143],"restrict":[85],"pixel's":[87],"scope":[88],"of":[89,159,171,193],"potential":[90],"disparities":[91,113],"reduce":[94,145],"noise":[95],"regions.":[100],"Furthermore,":[101],"novel":[103],"pseudo-two-layer":[104],"model":[105],"used":[107],"represent":[109],"relationship":[111],"between":[112],"different":[115],"pixels":[116],"segments.":[118],"It":[119],"robust":[122],"luminance":[124],"variation":[125],"by":[126,148],"treating":[127],"obtained":[129],"from":[130],"prior":[135],"knowledge.":[136],"Segmentation":[137],"viewed":[139],"soft":[142],"ambiguities":[146],"caused":[147],"under-":[149],"over-segmentation.":[151],"Compared":[152],"average":[155,168],"error":[156,169],"rate":[157,170],"3.27%":[158],"previous":[161],"state-of-the-art":[162],"methods,":[163],"our":[164,180],"method":[165,181],"an":[167],"2.61%":[172],"Middlebury":[175],"datasets,":[176],"shows":[178],"that":[179],"performs":[182],"almost":[183],"20%":[184],"better":[185],"than":[186],"other":[187],"\"fused\"":[188],"algorithms":[189],"aspect":[192],"precision.":[194]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
