{"id":"https://openalex.org/W3000305527","doi":"https://doi.org/10.1007/s41095-019-0159-7","title":"Reconstructing piecewise planar scenes with multi-view regularization","display_name":"Reconstructing piecewise planar scenes with multi-view regularization","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3000305527","doi":"https://doi.org/10.1007/s41095-019-0159-7","mag":"3000305527"},"language":"en","primary_location":{"id":"doi:10.1007/s41095-019-0159-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-019-0159-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-019-0159-7.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://link.springer.com/content/pdf/10.1007/s41095-019-0159-7.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052761986","display_name":"Weijie Xi","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weijie Xi","raw_affiliation_strings":["University of Science and Technology of China, Hefei, 230026, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, 230026, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088031350","display_name":"Xuejin Chen","orcid":"https://orcid.org/0000-0003-0478-7018"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuejin Chen","raw_affiliation_strings":["University of Science and Technology of China, Hefei, 230026, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, 230026, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5052761986"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.5108,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.70725095,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"5","issue":"4","first_page":"337","last_page":"345"},"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":0.9986000061035156,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9968000054359436,"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/computer-science","display_name":"Computer science","score":0.706662118434906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6892208456993103},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5869654417037964},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.5843267440795898},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5032865405082703},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.45791852474212646},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.4133754074573517},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32526642084121704},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18370488286018372}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.706662118434906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6892208456993103},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5869654417037964},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.5843267440795898},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5032865405082703},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.45791852474212646},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.4133754074573517},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32526642084121704},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18370488286018372},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s41095-019-0159-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-019-0159-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-019-0159-7.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:aa916061ddd14cf28b978eaefdbc6911","is_oa":true,"landing_page_url":"https://doaj.org/article/aa916061ddd14cf28b978eaefdbc6911","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational Visual Media, Vol 5, Iss 4, Pp 337-345 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s41095-019-0159-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-019-0159-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-019-0159-7.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7699999809265137}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1181567750","display_name":null,"funder_award_id":"WK3490000003","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2376276132","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4530701113","display_name":null,"funder_award_id":"WK2100100030","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5279355306","display_name":null,"funder_award_id":"2100100","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5616351183","display_name":null,"funder_award_id":"00000","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5683943641","display_name":null,"funder_award_id":"61632006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6844051781","display_name":null,"funder_award_id":"00000","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7033253288","display_name":null,"funder_award_id":"Grants","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8951484681","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3000305527.pdf","grobid_xml":"https://content.openalex.org/works/W3000305527.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1482548926","https://openalex.org/W1505712405","https://openalex.org/W2028541416","https://openalex.org/W2085905957","https://openalex.org/W2091825929","https://openalex.org/W2106598426","https://openalex.org/W2111137905","https://openalex.org/W2117248802","https://openalex.org/W2129404737","https://openalex.org/W2158211626","https://openalex.org/W2178922201","https://openalex.org/W2519683295","https://openalex.org/W2526468814","https://openalex.org/W2594519801","https://openalex.org/W2738551266","https://openalex.org/W2749895778","https://openalex.org/W2797347351","https://openalex.org/W2895040125","https://openalex.org/W2899771611","https://openalex.org/W2905260191","https://openalex.org/W2911293880","https://openalex.org/W2913251325","https://openalex.org/W2917562521","https://openalex.org/W2926429807","https://openalex.org/W2962793285","https://openalex.org/W2992718396","https://openalex.org/W4229971152","https://openalex.org/W4234552385","https://openalex.org/W4245550249","https://openalex.org/W4301409532"],"related_works":["https://openalex.org/W2118717649","https://openalex.org/W1958015814","https://openalex.org/W2413243053","https://openalex.org/W410723623","https://openalex.org/W2015341305","https://openalex.org/W4225593417","https://openalex.org/W2035068594","https://openalex.org/W2059783833","https://openalex.org/W2573498121","https://openalex.org/W1549477351"],"abstract_inverted_index":{"Reconstruction":[0],"of":[1,24,57,67,82,131],"man-made":[2,19,34],"scenes":[3,20],"from":[4,150],"multi-view":[5,76,96,123],"images":[6],"is":[7],"an":[8],"important":[9],"problem":[10],"in":[11,32,135],"computer":[12,15],"vision":[13],"and":[14,49,65,114,133],"graphics.":[16],"Observing":[17],"that":[18],"are":[21],"usually":[22],"composed":[23],"planar":[25,84],"surfaces,":[26],"we":[27,74,145],"encode":[28],"plane":[29,52],"shape":[30],"prior":[31],"reconstructing":[33],"scenes.":[35,155],"Recent":[36],"approaches":[37,165],"for":[38],"single-view":[39],"reconstruction":[40,85,160],"employ":[41],"multi-branch":[42],"neural":[43,119],"networks":[44],"to":[45,78,153,163],"simultaneously":[46],"segment":[47],"planes":[48],"recover":[50],"3D":[51],"parameters.":[53],"However,":[54],"the":[55,63,80,87,99,106,118,136,147,167],"scale":[56],"available":[58],"annotated":[59,93],"data":[60],"heavily":[61],"limits":[62],"generalizability":[64],"accuracy":[66],"these":[68],"supervised":[69],"methods.":[70],"In":[71],"this":[72],"paper,":[73],"propose":[75],"regularization":[77,97,124],"enhance":[79],"capability":[81],"piecewise":[83],"during":[86],"training":[88],"phase,":[89],"without":[90],"demanding":[91],"extra":[92],"data.":[94],"Our":[95,156],"enables":[98],"consistency":[100],"among":[101],"multiple":[102,151],"views":[103,132,152],"by":[104,122],"making":[105],"feature":[107],"embedding":[108],"more":[109,141],"robust":[110],"against":[111],"view":[112],"change":[113],"lighting":[115],"variations.":[116],"Thus,":[117],"network":[120],"trained":[121],"performs":[125],"better":[126],"on":[127,140,166],"a":[128],"wide":[129],"range":[130],"lightings":[134],"test":[137],"phase.":[138],"Based":[139],"consistent":[142],"prediction":[143],"results,":[144],"merge":[146],"recovered":[148],"models":[149],"reconstruct":[154],"approach":[157],"achieves":[158],"state-of-the-art":[159],"performance":[161],"compared":[162],"previous":[164],"public":[168],"ScanNet":[169],"dataset.":[170]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":4}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
