{"id":"https://openalex.org/W3109244347","doi":"https://doi.org/10.1109/cisp-bmei51763.2020.9263626","title":"3D Reconstruction From Monocular Images Based on Deep Convolutional Networks","display_name":"3D Reconstruction From Monocular Images Based on Deep Convolutional Networks","publication_year":2020,"publication_date":"2020-10-17","ids":{"openalex":"https://openalex.org/W3109244347","doi":"https://doi.org/10.1109/cisp-bmei51763.2020.9263626","mag":"3109244347"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei51763.2020.9263626","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei51763.2020.9263626","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 13th 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/A5067568380","display_name":"Yinhui Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yinhui Ren","raw_affiliation_strings":["College of Electronic Information and Engineering Inner Mongolia University,Hohhot,China,010021"],"affiliations":[{"raw_affiliation_string":"College of Electronic Information and Engineering Inner Mongolia University,Hohhot,China,010021","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100438119","display_name":"Zhihui Wang","orcid":"https://orcid.org/0000-0002-5011-9726"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihui Wang","raw_affiliation_strings":["College of Electronic Information and Engineering Inner Mongolia University,Hohhot,China,010021"],"affiliations":[{"raw_affiliation_string":"College of Electronic Information and Engineering Inner Mongolia University,Hohhot,China,010021","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102170101","display_name":"Daoerji Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daoerji Fan","raw_affiliation_strings":["College of Electronic Information and Engineering Inner Mongolia University,Hohhot,China,010021"],"affiliations":[{"raw_affiliation_string":"College of Electronic Information and Engineering Inner Mongolia University,Hohhot,China,010021","institution_ids":["https://openalex.org/I2722730"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5067568380"],"corresponding_institution_ids":["https://openalex.org/I2722730"],"apc_list":null,"apc_paid":null,"fwci":0.0977,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.42199368,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"248","last_page":"252"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9932000041007996,"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":0.8241623640060425},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8064843416213989},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.7798100709915161},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7662317752838135},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.7134466171264648},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6795345544815063},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6757886409759521},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6337614059448242},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5395218133926392},{"id":"https://openalex.org/keywords/monocular-vision","display_name":"Monocular vision","score":0.5361250638961792},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.46884170174598694},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.44615134596824646},{"id":"https://openalex.org/keywords/surface-reconstruction","display_name":"Surface reconstruction","score":0.42882171273231506},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4261184632778168},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.381893128156662},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.12129372358322144},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10382896661758423}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8241623640060425},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8064843416213989},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.7798100709915161},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7662317752838135},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.7134466171264648},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6795345544815063},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6757886409759521},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6337614059448242},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5395218133926392},{"id":"https://openalex.org/C158829959","wikidata":"https://www.wikidata.org/wiki/Q1640606","display_name":"Monocular vision","level":2,"score":0.5361250638961792},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.46884170174598694},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.44615134596824646},{"id":"https://openalex.org/C20885615","wikidata":"https://www.wikidata.org/wiki/Q825595","display_name":"Surface reconstruction","level":3,"score":0.42882171273231506},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4261184632778168},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.381893128156662},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.12129372358322144},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10382896661758423},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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":1,"locations":[{"id":"doi:10.1109/cisp-bmei51763.2020.9263626","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei51763.2020.9263626","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W313314885","https://openalex.org/W1545195129","https://openalex.org/W1803059841","https://openalex.org/W1905829557","https://openalex.org/W1970481007","https://openalex.org/W2004009863","https://openalex.org/W2061788472","https://openalex.org/W2083047701","https://openalex.org/W2124907686","https://openalex.org/W2141125852","https://openalex.org/W2171740948","https://openalex.org/W2560722161","https://openalex.org/W2593584281","https://openalex.org/W2593956217","https://openalex.org/W2743552164","https://openalex.org/W2777186991","https://openalex.org/W2944090748","https://openalex.org/W2945957791","https://openalex.org/W2947810057","https://openalex.org/W2951234442","https://openalex.org/W2962741876","https://openalex.org/W2962807783","https://openalex.org/W2963073614","https://openalex.org/W2963488291","https://openalex.org/W2970899367","https://openalex.org/W2995942064","https://openalex.org/W3103567320","https://openalex.org/W6678569853","https://openalex.org/W6685261749","https://openalex.org/W6763236253"],"related_works":["https://openalex.org/W3213997683","https://openalex.org/W2995270189","https://openalex.org/W2084124712","https://openalex.org/W2435467664","https://openalex.org/W2091635186","https://openalex.org/W4381188157","https://openalex.org/W4251947321","https://openalex.org/W2011626633","https://openalex.org/W2037866696","https://openalex.org/W2027891072"],"abstract_inverted_index":{"3D":[0,16,38,84,110],"reconstruction":[1,14],"from":[2,69],"monocular":[3,46],"images":[4],"is":[5,67,92],"an":[6],"essential":[7],"part":[8],"of":[9,15,18,44,59,82,102],"machine":[10],"vision.":[11,29],"The":[12],"effective":[13],"models":[17,111],"objects":[19],"or":[20],"scenes":[21,103],"has":[22],"become":[23],"a":[24,45,60],"research":[25],"focus":[26],"in":[27],"computer":[28],"In":[30],"this":[31],"article,":[32],"we":[33,51],"concentrate":[34],"on":[35],"restoring":[36],"the":[37,41,57,64,70,75,80,83,98],"model":[39],"through":[40],"depth":[42,58,71],"information":[43,101],"image.":[47,62],"First":[48],"and":[49,94,97],"foremost,":[50],"use":[52],"deep":[53],"learning":[54],"to":[55,74,78],"get":[56],"single":[61],"Next,":[63],"point":[65],"cloud":[66],"reconstructed":[68,99,109],"map":[72],"according":[73],"camera":[76],"parameters":[77],"achieve":[79],"purpose":[81],"reconstruction.":[85],"Compared":[86],"with":[87],"traditional":[88],"methods,":[89],"our":[90,108],"approach":[91],"faster":[93],"more":[95],"relaxed,":[96],"three-dimensional":[100],"can":[104],"be":[105],"recovered":[106],"efficiently,":[107],"also":[112],"have":[113],"better":[114],"authenticity.":[115]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}