{"id":"https://openalex.org/W2568116005","doi":"https://doi.org/10.1109/tip.2017.2651383","title":"Geometry Guided Multi-Scale Depth Map Fusion via Graph Optimization","display_name":"Geometry Guided Multi-Scale Depth Map Fusion via Graph Optimization","publication_year":2017,"publication_date":"2017-01-10","ids":{"openalex":"https://openalex.org/W2568116005","doi":"https://doi.org/10.1109/tip.2017.2651383","mag":"2568116005","pmid":"https://pubmed.ncbi.nlm.nih.gov/28092546"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2017.2651383","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2651383","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5061120675","display_name":"Pengfei Wu","orcid":"https://orcid.org/0000-0003-3404-3474"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Pengfei Wu","raw_affiliation_strings":["Vision and Image Processing Laboratory, School of Computer Science, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Vision and Image Processing Laboratory, School of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101780711","display_name":"Yiguang Liu","orcid":"https://orcid.org/0000-0002-1895-0587"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiguang Liu","raw_affiliation_strings":["Vision and Image Processing Laboratory, School of Computer Science, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Vision and Image Processing Laboratory, School of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100682790","display_name":"Mao Ye","orcid":"https://orcid.org/0000-0003-4760-8702"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mao Ye","raw_affiliation_strings":["Key Laboratory for NeuroInformation of Ministry of Education, Center for Robotics, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory for NeuroInformation of Ministry of Education, Center for Robotics, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101545997","display_name":"Zhenyu Xu","orcid":"https://orcid.org/0000-0002-2469-0339"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Xu","raw_affiliation_strings":["Vision and Image Processing Laboratory, School of Computer Science, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Vision and Image Processing Laboratory, School of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109419312","display_name":"Yunan Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunan Zheng","raw_affiliation_strings":["Vision and Image Processing Laboratory, School of Computer Science, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Vision and Image Processing Laboratory, School of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5061120675"],"corresponding_institution_ids":["https://openalex.org/I24185976"],"apc_list":null,"apc_paid":null,"fwci":0.4622,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.71592161,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"26","issue":"3","first_page":"1315","last_page":"1329"},"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9962000250816345,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5647983551025391},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5518096089363098},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5464812517166138},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.512680172920227},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.494097501039505},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.47980979084968567},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4686550199985504},{"id":"https://openalex.org/keywords/visibility-graph","display_name":"Visibility graph","score":0.46781373023986816},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.45622003078460693},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43746745586395264},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39499539136886597},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3248262107372284},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.15300294756889343},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1096639633178711}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5647983551025391},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5518096089363098},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5464812517166138},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.512680172920227},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.494097501039505},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.47980979084968567},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4686550199985504},{"id":"https://openalex.org/C173362246","wikidata":"https://www.wikidata.org/wiki/Q8216024","display_name":"Visibility graph","level":3,"score":0.46781373023986816},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.45622003078460693},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43746745586395264},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39499539136886597},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3248262107372284},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.15300294756889343},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1096639633178711},{"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/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/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2017.2651383","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2651383","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:28092546","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28092546","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":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7300000190734863}],"awards":[{"id":"https://openalex.org/G4203742490","display_name":null,"funder_award_id":"u1633126","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8620695785","display_name":null,"funder_award_id":"2016YFB0800600","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8940292969","display_name":null,"funder_award_id":"61571313","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1564871316","https://openalex.org/W1735588541","https://openalex.org/W1955069752","https://openalex.org/W1964365496","https://openalex.org/W1969204979","https://openalex.org/W1974225675","https://openalex.org/W1992642990","https://openalex.org/W1993120651","https://openalex.org/W2002436811","https://openalex.org/W2005904823","https://openalex.org/W2007200979","https://openalex.org/W2008073424","https://openalex.org/W2008706659","https://openalex.org/W2026203758","https://openalex.org/W2039286679","https://openalex.org/W2041311840","https://openalex.org/W2060674973","https://openalex.org/W2074378519","https://openalex.org/W2096044049","https://openalex.org/W2101309634","https://openalex.org/W2106598426","https://openalex.org/W2112174119","https://openalex.org/W2113137767","https://openalex.org/W2115362620","https://openalex.org/W2123782500","https://openalex.org/W2129404737","https://openalex.org/W2130558599","https://openalex.org/W2133098875","https://openalex.org/W2137374159","https://openalex.org/W2138821028","https://openalex.org/W2139331573","https://openalex.org/W2143516773","https://openalex.org/W2151103935","https://openalex.org/W2154234100","https://openalex.org/W2156116778","https://openalex.org/W2157431410","https://openalex.org/W2160014001","https://openalex.org/W2160643963","https://openalex.org/W2160821342","https://openalex.org/W2165306775","https://openalex.org/W2167335287","https://openalex.org/W2171056981","https://openalex.org/W3002795340","https://openalex.org/W3101921002","https://openalex.org/W6634014874","https://openalex.org/W6637923771","https://openalex.org/W6640817630","https://openalex.org/W6652231383","https://openalex.org/W6660668356","https://openalex.org/W6683253545"],"related_works":["https://openalex.org/W2743652671","https://openalex.org/W2911638885","https://openalex.org/W2032709970","https://openalex.org/W2066813664","https://openalex.org/W2094166299","https://openalex.org/W2519024191","https://openalex.org/W2963183586","https://openalex.org/W2159176266","https://openalex.org/W4388826510","https://openalex.org/W1608416195"],"abstract_inverted_index":{"In":[0],"depth":[1,6,19,80],"discontinuous":[2],"and":[3,51,60,91,107,111,136],"untextured":[4],"regions,":[5],"maps":[7,81],"created":[8],"by":[9,117],"multiple":[10],"view":[11],"stereopsis":[12],"are":[13,34],"with":[14,144],"heavy":[15],"noises,":[16],"but":[17],"existing":[18,94],"map":[20],"fusion":[21,40,96],"methods":[22,66,161],"cannot":[23],"handle":[24],"it":[25],"explicitly.":[26],"To":[27],"tackle":[28],"the":[29,49,123,127,131,137,151,155,160],"problem,":[30],"two":[31],"novel":[32],"strategies":[33],"proposed:":[35],"1)":[36],"a":[37,72,105,145],"more":[38],"discriminative":[39],"method,":[41],"which":[42,76],"is":[43,86,112,140],"based":[44],"on":[45,57],"geometry":[46,55],"consistency,":[47,50],"measuring":[48],"stability":[52],"of":[53,79,104,126,147],"surface":[54],"computed":[56],"both":[58,101],"partial":[59],"global":[61],"surfaces,":[62],"different":[63,89],"from":[64,93],"traditional":[65,132],"only":[67],"using":[68],"visibility":[69,133],"consistency;":[70],"2)":[71],"graph":[73,118],"optimization":[74],"method":[75,99,129,139,153],"fuses":[77],"pyramids":[78],"as":[82],"mutual":[83],"complementary":[84],"information":[85],"available":[87],"in":[88],"scales,":[90],"differs":[92],"multi-scale":[95],"methods.":[97,149],"The":[98],"considers":[100],"sampling":[102],"scale":[103],"point":[106],"relations":[108],"among":[109,158],"points,":[110],"proven":[113],"to":[114,130],"be":[115],"solvable":[116],"cuts.":[119],"Experimental":[120],"results":[121],"verify":[122],"superior":[124],"performance":[125],"proposed":[128,138,152],"consistency-based":[134],"methods,":[135],"also":[141],"compared":[142],"favorably":[143],"number":[146],"state-of-the-art":[148],"Moreover,":[150],"achieves":[154],"highest":[156],"completeness":[157],"all":[159],"compared.":[162]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}