{"id":"https://openalex.org/W4310163739","doi":"https://doi.org/10.23919/fruct56874.2022.9953825","title":"Method for Automated Data Collection for 3D Reconstruction","display_name":"Method for Automated Data Collection for 3D Reconstruction","publication_year":2022,"publication_date":"2022-11-09","ids":{"openalex":"https://openalex.org/W4310163739","doi":"https://doi.org/10.23919/fruct56874.2022.9953825"},"language":"en","primary_location":{"id":"doi:10.23919/fruct56874.2022.9953825","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fruct56874.2022.9953825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 32nd Conference of Open Innovations Association (FRUCT)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doaj.org/article/f3d15203d5cd4d8ca3c2b1d3fb632ecb","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013027848","display_name":"Mark Zaslavskiy","orcid":"https://orcid.org/0000-0002-9084-3604"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mark Zaslavskiy","raw_affiliation_strings":["SPb ETU &#x201C;LETI&#x201D;, Saint Petersburg,Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SPb ETU &#x201C;LETI&#x201D;, Saint Petersburg,Russia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107934524","display_name":"Roman Shestopalov","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Roman Shestopalov","raw_affiliation_strings":["SPb ETU &#x201C;LETI&#x201D;, Saint Petersburg,Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SPb ETU &#x201C;LETI&#x201D;, Saint Petersburg,Russia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091249291","display_name":"Alexander Grebenshchikov","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141538","display_name":"State Marine Technical University of St. Petersburg","ror":"https://ror.org/03spdpm68","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210141538"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Alexander Grebenshchikov","raw_affiliation_strings":["SPbU,Saint Petersburg,Russia","SPbU,Saint Petersburg, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SPbU,Saint Petersburg,Russia","institution_ids":["https://openalex.org/I4210141538"]},{"raw_affiliation_string":"SPbU,Saint Petersburg, Russia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016055752","display_name":"Danil Korenev","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Danil Korenev","raw_affiliation_strings":["SPb ETU &#x201C;LETI&#x201D;, Saint Petersburg,Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SPb ETU &#x201C;LETI&#x201D;, Saint Petersburg,Russia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002835131","display_name":"Evgeny Shkvirya","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Evgeny Shkvirya","raw_affiliation_strings":["SPb ETU &#x201C;LETI&#x201D;, Saint Petersburg,Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SPb ETU &#x201C;LETI&#x201D;, Saint Petersburg,Russia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"308","last_page":"315"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9997000098228455,"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/T10531","display_name":"Advanced Vision and Imaging","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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9987999796867371,"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/computer-science","display_name":"Computer science","score":0.7646092176437378},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.761186957359314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7174789309501648},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5550306439399719},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5463382601737976},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.4745779037475586},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.43468791246414185},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1229579746723175}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7646092176437378},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.761186957359314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7174789309501648},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5550306439399719},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5463382601737976},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.4745779037475586},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.43468791246414185},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1229579746723175},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/fruct56874.2022.9953825","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fruct56874.2022.9953825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 32nd Conference of Open Innovations Association (FRUCT)","raw_type":"proceedings-article"},{"id":"pmh:oai:doaj.org/article:f3d15203d5cd4d8ca3c2b1d3fb632ecb","is_oa":true,"landing_page_url":"https://doaj.org/article/f3d15203d5cd4d8ca3c2b1d3fb632ecb","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":"Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 32, Iss 1, Pp 308-315 (2022)","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:doaj.org/article:f3d15203d5cd4d8ca3c2b1d3fb632ecb","is_oa":true,"landing_page_url":"https://doaj.org/article/f3d15203d5cd4d8ca3c2b1d3fb632ecb","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":"Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 32, Iss 1, Pp 308-315 (2022)","raw_type":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7400000095367432,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W123086243","https://openalex.org/W2005126631","https://openalex.org/W2039731429","https://openalex.org/W2078510592","https://openalex.org/W2284939270","https://openalex.org/W2799112149","https://openalex.org/W2803119246","https://openalex.org/W2904807799","https://openalex.org/W3003871040","https://openalex.org/W3048886821","https://openalex.org/W3087588036","https://openalex.org/W3109273176","https://openalex.org/W3137352480","https://openalex.org/W3152691130"],"related_works":["https://openalex.org/W2091018038","https://openalex.org/W2225378543","https://openalex.org/W4287122200","https://openalex.org/W9839718","https://openalex.org/W3110613631","https://openalex.org/W2040913503","https://openalex.org/W3166845860","https://openalex.org/W2742744817","https://openalex.org/W3202472720","https://openalex.org/W2393010104"],"abstract_inverted_index":{"The":[0,34,121,132,145],"paper":[1],"presents":[2],"an":[3,129],"automated":[4],"method":[5,32,35,125,133],"to":[6,73,78,156],"guide":[7],"a":[8,28,39],"human":[9,74],"operator":[10,75],"during":[11,47,158],"RGB":[12,103],"image":[13],"shot":[14],"for":[15,23,31,142],"improving":[16],"the":[17,48,56,88,118,124,149,159,164,169,172],"quality":[18,170],"of":[19,44,171],"further":[20],"3D":[21,90,174],"reconstruction":[22],"low-rise":[24],"outdoor":[25,139],"objects":[26],"and":[27,52,70,105,108,126,162],"use":[29],"case":[30],"application.":[33,131],"provides":[36],"automation":[37],"as":[38,128],"three-step":[40],"process:":[41],"local":[42,150,165],"analysis":[43,151,166],"images":[45],"performed":[46,54],"shooting,":[49],"global":[50],"analysis,":[51],"recommendations":[53],"after":[55],"shooting.":[57,94],"Method":[58,95],"steps":[59],"filter":[60],"out":[61],"defective":[62],"images,":[63],"approximate":[64],"future":[65],"3D-model":[66],"using":[67],"Structure-from-Motion":[68],"(SfM),":[69],"map":[71],"it":[72],"trajectory":[76],"estimation":[77],"identify":[79],"object":[80],"areas":[81],"that":[82,148,163],"will":[83],"have":[84],"low":[85],"resolution":[86],"on":[87,112,138],"final":[89,173],"model,":[91],"requiring":[92],"additional":[93],"structure":[96],"does":[97,109],"not":[98,110],"require":[99],"any":[100,113],"sensors":[101,107],"except":[102],"camera":[104],"inertial":[106],"rely":[111],"external":[114],"backend,":[115],"which":[116],"lowers":[117],"hardware":[119],"requirement.":[120],"authors":[122],"implemented":[123],"use-case":[127],"Android":[130],"was":[134],"evaluated":[135],"by":[136],"experiments":[137],"datasets":[140],"created":[141],"this":[143],"study.":[144],"evaluation":[146],"shows":[147],"stage":[152,167],"is":[153],"fast":[154],"enough":[155],"perform":[157],"shooting":[160],"process":[161],"improves":[168],"model.":[175]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
