{"id":"https://openalex.org/W2758280874","doi":"https://doi.org/10.1109/tpami.2017.2757928","title":"Object Segmentation Ensuring Consistency Across Multi-Viewpoint Images","display_name":"Object Segmentation Ensuring Consistency Across Multi-Viewpoint Images","publication_year":2017,"publication_date":"2017-09-29","ids":{"openalex":"https://openalex.org/W2758280874","doi":"https://doi.org/10.1109/tpami.2017.2757928","mag":"2758280874","pmid":"https://pubmed.ncbi.nlm.nih.gov/28976312"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2017.2757928","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2017.2757928","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","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/A5039510002","display_name":"Seunghwa Jeong","orcid":"https://orcid.org/0000-0002-6011-4857"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Seunghwa Jeong","raw_affiliation_strings":["Graduate School of Culture Technology, KAIST, Daejeon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Graduate School of Culture Technology, KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101522243","display_name":"Jungjin Lee","orcid":"https://orcid.org/0000-0003-3471-4848"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jungjin Lee","raw_affiliation_strings":["KAI Inc., Daejeon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"KAI Inc., Daejeon, Republic of Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022648507","display_name":"Bumki Kim","orcid":"https://orcid.org/0000-0003-2653-306X"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Bumki Kim","raw_affiliation_strings":["Graduate School of Culture Technology, KAIST, Daejeon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Graduate School of Culture Technology, KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114488641","display_name":"Younghui Kim","orcid":"https://orcid.org/0009-0005-9334-9264"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Younghui Kim","raw_affiliation_strings":["KAI Inc., Daejeon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"KAI Inc., Daejeon, Republic of Korea","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026087865","display_name":"Junyong Noh","orcid":"https://orcid.org/0000-0003-1925-3326"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Junyong Noh","raw_affiliation_strings":["Graduate School of Culture Technology, KAIST, Daejeon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Graduate School of Culture Technology, KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5039510002"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":0.9102,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.83981268,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"40","issue":"10","first_page":"2455","last_page":"2468"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9995999932289124,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8603588342666626},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7388492226600647},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7132905721664429},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.7039097547531128},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6250108480453491},{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.6183668375015259},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.517048180103302},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.4574607312679291},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4487605392932892},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.41943010687828064},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4063914120197296},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20045065879821777}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8603588342666626},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7388492226600647},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7132905721664429},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.7039097547531128},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6250108480453491},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.6183668375015259},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.517048180103302},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.4574607312679291},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4487605392932892},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.41943010687828064},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4063914120197296},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20045065879821777}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2017.2757928","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2017.2757928","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:28976312","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28976312","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 pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1500853963","https://openalex.org/W1511535428","https://openalex.org/W1559395077","https://openalex.org/W1964884769","https://openalex.org/W1998005983","https://openalex.org/W2029591947","https://openalex.org/W2043854652","https://openalex.org/W2070926764","https://openalex.org/W2086052791","https://openalex.org/W2101309634","https://openalex.org/W2102625004","https://openalex.org/W2104600947","https://openalex.org/W2104853049","https://openalex.org/W2105303354","https://openalex.org/W2108417695","https://openalex.org/W2113137767","https://openalex.org/W2118246710","https://openalex.org/W2124351162","https://openalex.org/W2125480112","https://openalex.org/W2126373711","https://openalex.org/W2128715362","https://openalex.org/W2129823392","https://openalex.org/W2137574036","https://openalex.org/W2140235142","https://openalex.org/W2148290050","https://openalex.org/W2150590906","https://openalex.org/W2157244733","https://openalex.org/W2163046003","https://openalex.org/W2168771524","https://openalex.org/W2169551590","https://openalex.org/W2295160225","https://openalex.org/W2565236631","https://openalex.org/W3141038539","https://openalex.org/W6629780553","https://openalex.org/W6633587312","https://openalex.org/W6678820328","https://openalex.org/W6731173134"],"related_works":["https://openalex.org/W2467952778","https://openalex.org/W2387690017","https://openalex.org/W4233585817","https://openalex.org/W29916882","https://openalex.org/W2029983961","https://openalex.org/W2016045932","https://openalex.org/W1675950995","https://openalex.org/W2021544484","https://openalex.org/W2188882668","https://openalex.org/W2086619084"],"abstract_inverted_index":{"We":[0,50,119,140],"present":[1],"a":[2,21,166],"hybrid":[3],"approach":[4],"that":[5,81,148,157],"segments":[6],"an":[7],"object":[8,54],"by":[9,41,96],"using":[10,42,97],"both":[11],"color":[12,27,79,85],"and":[13,25,46,136],"depth":[14,35,100],"information":[15,36],"obtained":[16,113],"from":[17,20,44,67,114],"views":[18],"captured":[19],"low-cost":[22],"RGBD":[23],"camera":[24],"sparsely-located":[26],"cameras.":[28,139],"Our":[29],"system":[30],"begins":[31],"with":[32,144],"generating":[33],"dense":[34,92,99],"of":[37,74,110,123,133],"each":[38],"target":[39],"image":[40],"Structure":[43],"Motion":[45],"Joint":[47],"Bilateral":[48],"Upsampling.":[49],"formulate":[51],"the":[52,57,64,68,75,98,103,108,111,115,121,145,150,158],"multi-view":[53,152],"segmentation":[55,76],"as":[56,131],"Markov":[58],"Random":[59],"Field":[60],"energy":[61],"optimization":[62,105],"on":[63],"graph":[65],"constructed":[66],"superpixels.":[69],"To":[70],"ensure":[71],"inter-view":[72,93],"consistency":[73],"results":[77,112],"between":[78,138],"images":[80],"have":[82],"too":[83],"few":[84],"features,":[86],"our":[87,124,142],"local":[88],"mapping":[89],"method":[90,125,143,160],"generates":[91],"geometric":[94],"correspondences":[95],"images.":[101],"Finally,":[102],"pixel-based":[104],"step":[106],"refines":[107],"boundaries":[109],"superpixel-based":[116],"binary":[117],"segmentation.":[118],"evaluate":[120],"validity":[122],"under":[126],"various":[127],"capture":[128,169],"conditions":[129],"such":[130],"numbers":[132],"views,":[134],"rotations,":[135],"distances":[137],"compared":[141],"state-of-the-art":[146],"methods":[147],"use":[149],"standard":[151],"datasets.":[153],"The":[154],"comparison":[155],"verified":[156],"proposed":[159],"works":[161],"very":[162],"efficiently":[163],"especially":[164],"in":[165],"sparse":[167],"wide-baseline":[168],"environment.":[170]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
