{"id":"https://openalex.org/W3193935549","doi":"https://doi.org/10.1145/3469213.3470679","title":"Research on 3D Reverse Technology Based on Monocular Image Sequence","display_name":"Research on 3D Reverse Technology Based on Monocular Image Sequence","publication_year":2021,"publication_date":"2021-05-28","ids":{"openalex":"https://openalex.org/W3193935549","doi":"https://doi.org/10.1145/3469213.3470679","mag":"3193935549"},"language":"en","primary_location":{"id":"doi:10.1145/3469213.3470679","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3469213.3470679","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 2nd International Conference on Artificial Intelligence and Information Systems","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/A5022889195","display_name":"Yangfan Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yangfan Chen","raw_affiliation_strings":["Chang'an University, China"],"affiliations":[{"raw_affiliation_string":"Chang'an University, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031670966","display_name":"Jingxian Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingxian Xu","raw_affiliation_strings":["Chang'an University, China"],"affiliations":[{"raw_affiliation_string":"Chang'an University, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057500966","display_name":"Wenhan Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhan Feng","raw_affiliation_strings":["Chang'an University, China"],"affiliations":[{"raw_affiliation_string":"Chang'an University, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000427803","display_name":"Hao Yuan","orcid":"https://orcid.org/0009-0006-6280-5324"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Yuan","raw_affiliation_strings":["Chang'an University, China"],"affiliations":[{"raw_affiliation_string":"Chang'an University, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042193430","display_name":"Hengzhi Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengzhi Gu","raw_affiliation_strings":["Chang'an University, China"],"affiliations":[{"raw_affiliation_string":"Chang'an University, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086735553","display_name":"Yi Han","orcid":"https://orcid.org/0000-0001-8089-0805"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Han","raw_affiliation_strings":["Chang'an University, China"],"affiliations":[{"raw_affiliation_string":"Chang'an University, China","institution_ids":["https://openalex.org/I25355098"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5022889195"],"corresponding_institution_ids":["https://openalex.org/I25355098"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04884455,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9976999759674072,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9970999956130981,"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/hamming-distance","display_name":"Hamming distance","score":0.8481802344322205},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7291750907897949},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6136286854743958},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5739887952804565},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5275273323059082},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4934293329715729},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46035927534103394},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45080795884132385},{"id":"https://openalex.org/keywords/hamming-code","display_name":"Hamming code","score":0.43829867243766785},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4350661635398865},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4289875626564026},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.4261443614959717},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4256831109523773},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.1911396086215973},{"id":"https://openalex.org/keywords/block-code","display_name":"Block code","score":0.07119476795196533}],"concepts":[{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.8481802344322205},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7291750907897949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6136286854743958},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5739887952804565},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5275273323059082},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4934293329715729},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46035927534103394},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45080795884132385},{"id":"https://openalex.org/C73150493","wikidata":"https://www.wikidata.org/wiki/Q853922","display_name":"Hamming code","level":4,"score":0.43829867243766785},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4350661635398865},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4289875626564026},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.4261443614959717},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4256831109523773},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.1911396086215973},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.07119476795196533},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3469213.3470679","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3469213.3470679","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 2nd International Conference on Artificial Intelligence and Information Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1510415317","https://openalex.org/W1612997784","https://openalex.org/W1677409904","https://openalex.org/W1938204631","https://openalex.org/W1987648924","https://openalex.org/W2010642153","https://openalex.org/W2024668293","https://openalex.org/W2071143247","https://openalex.org/W2089184644","https://openalex.org/W2099253838","https://openalex.org/W2115362620","https://openalex.org/W2151103935","https://openalex.org/W2167667767","https://openalex.org/W2170282673","https://openalex.org/W2177274842","https://openalex.org/W2535547924","https://openalex.org/W2563286913","https://openalex.org/W2598698322","https://openalex.org/W2754925132","https://openalex.org/W3102327032","https://openalex.org/W3103648783","https://openalex.org/W6637400245","https://openalex.org/W6741646363"],"related_works":["https://openalex.org/W2786306966","https://openalex.org/W2904596878","https://openalex.org/W2810489482","https://openalex.org/W2534909612","https://openalex.org/W4310007291","https://openalex.org/W2538163020","https://openalex.org/W2475750579","https://openalex.org/W2392187754","https://openalex.org/W1995188412","https://openalex.org/W2979454945"],"abstract_inverted_index":{"A":[0,85],"solution":[1],"to":[2,11,25,80,139,169],"improve":[3],"the":[4,22,27,43,51,56,64,68,77,82,94,101,107,111,115,121,136,141,147,151,157,162,170,175,181],"FAST":[5],"feature":[6,47,60,83,87,98,123,148],"point":[7,24,44,88,124],"detection":[8],"algorithm":[9],"susceptible":[10],"image":[12,103,138,153],"noise":[13],"interference":[14],"is":[15,40,45,91,104,125,154,167],"proposed.":[16],"Eight":[17],"directions":[18,75],"are":[19],"derived":[20,105],"from":[21],"selected":[23,155],"solve":[26,63,140],"gray":[28,71],"level":[29],"mutations":[30],"in":[31,73],"these":[32],"eight":[33],"directions,":[34],"and":[35,62,120,179],"based":[36],"on":[37],"this,":[38],"it":[39,131],"judged":[41],"whether":[42],"a":[46,128],"point.":[48,160],"And":[49],"take":[50],"maximum":[52,65],"value":[53,66],"suppression":[54],"for":[55],"dense":[57],"area":[58],"of":[59,67,70,150,164,177],"points,":[61],"sum":[69],"changes":[72],"all":[74],"as":[76,156],"judgment":[78],"condition":[79],"screen":[81],"points.":[84],"new":[86],"matching":[89,159],"scheme":[90],"proposed,":[92],"where":[93],"Hamming":[95,112,144],"distance":[96,113,145],"between":[97,114,146],"points":[99,119,149],"within":[100],"target":[102,118],"by":[106],"BruteForce":[108],"algorithm.":[109],"If":[110],"first":[116],"few":[117],"original":[122,137,152],"less":[126],"than":[127],"certain":[129],"threshold,":[130],"will":[132],"be":[133],"substituted":[134],"into":[135],"problem.":[142],"The":[143],"correct":[158],"Finally,":[161],"principle":[163],"region":[165],"growth":[166],"introduced":[168],"MC":[171],"algorithm,":[172],"which":[173],"saves":[174],"amount":[176],"calculation":[178],"improves":[180],"generation":[182],"accuracy.":[183]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
