{"id":"https://openalex.org/W2072724744","doi":"https://doi.org/10.1109/icinfa.2013.6720289","title":"Three-dimensional shape reconstruction with small scale based on micro stereo vision","display_name":"Three-dimensional shape reconstruction with small scale based on micro stereo vision","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2072724744","doi":"https://doi.org/10.1109/icinfa.2013.6720289","mag":"2072724744"},"language":"en","primary_location":{"id":"doi:10.1109/icinfa.2013.6720289","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2013.6720289","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Information and Automation (ICIA)","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/A5007867762","display_name":"Yuezong Wang","orcid":"https://orcid.org/0000-0002-5024-077X"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuezong Wang","raw_affiliation_strings":["The College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing, China","Coll. of Mech. Eng. & Appl. Electron. Technol., Beijing Univ. of Technol., Beijing, China"],"affiliations":[{"raw_affiliation_string":"The College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Coll. of Mech. Eng. & Appl. Electron. Technol., Beijing Univ. of Technol., Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100408850","display_name":"Chenchen Zhang","orcid":"https://orcid.org/0000-0002-7304-8721"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenchen Zhang","raw_affiliation_strings":["The College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing, China","Coll. of Mech. Eng. & Appl. Electron. Technol., Beijing Univ. of Technol., Beijing, China"],"affiliations":[{"raw_affiliation_string":"The College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Coll. of Mech. Eng. & Appl. Electron. Technol., Beijing Univ. of Technol., Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052807371","display_name":"Guodong Ma","orcid":"https://orcid.org/0009-0005-1910-7494"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guodong Ma","raw_affiliation_strings":["The College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing, China","Coll. of Mech. Eng. & Appl. Electron. Technol., Beijing Univ. of Technol., Beijing, China"],"affiliations":[{"raw_affiliation_string":"The College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Coll. of Mech. Eng. & Appl. Electron. Technol., Beijing Univ. of Technol., Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100875965","display_name":"Wenjia Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjia Yin","raw_affiliation_strings":["The College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing, China","Coll. of Mech. Eng. & Appl. Electron. Technol., Beijing Univ. of Technol., Beijing, China"],"affiliations":[{"raw_affiliation_string":"The College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Coll. of Mech. Eng. & Appl. Electron. Technol., Beijing Univ. of Technol., Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5007867762"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.1367425,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"162","last_page":"167"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","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/T12549","display_name":"Image and Object Detection Techniques","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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9980000257492065,"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":0.9966999888420105,"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":0.7504631280899048},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7244920134544373},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5981881618499756},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5531451106071472},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5503383278846741},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5185756683349609},{"id":"https://openalex.org/keywords/template-matching","display_name":"Template matching","score":0.44978296756744385},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44049960374832153},{"id":"https://openalex.org/keywords/computer-stereo-vision","display_name":"Computer stereo vision","score":0.43164128065109253},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.42089664936065674},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.41136834025382996},{"id":"https://openalex.org/keywords/scale-space","display_name":"Scale space","score":0.4111233353614807},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3777121305465698},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2886740565299988},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27944812178611755},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11891263723373413},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08664140105247498}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7504631280899048},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7244920134544373},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5981881618499756},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5531451106071472},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5503383278846741},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5185756683349609},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.44978296756744385},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44049960374832153},{"id":"https://openalex.org/C31451488","wikidata":"https://www.wikidata.org/wiki/Q5157586","display_name":"Computer stereo vision","level":3,"score":0.43164128065109253},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.42089664936065674},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.41136834025382996},{"id":"https://openalex.org/C99102927","wikidata":"https://www.wikidata.org/wiki/Q3058184","display_name":"Scale space","level":4,"score":0.4111233353614807},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3777121305465698},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2886740565299988},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27944812178611755},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11891263723373413},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08664140105247498},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icinfa.2013.6720289","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2013.6720289","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Information and Automation (ICIA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1604112931","https://openalex.org/W1995376165","https://openalex.org/W2008770078","https://openalex.org/W2034366473","https://openalex.org/W2037819914","https://openalex.org/W2051091102","https://openalex.org/W2080625905","https://openalex.org/W2102747584","https://openalex.org/W2121418308","https://openalex.org/W2149166480","https://openalex.org/W2161837491","https://openalex.org/W2167165803","https://openalex.org/W2169467627","https://openalex.org/W2795431618"],"related_works":["https://openalex.org/W4306194383","https://openalex.org/W4306249900","https://openalex.org/W2172130785","https://openalex.org/W4304776306","https://openalex.org/W4226053486","https://openalex.org/W1965432195","https://openalex.org/W1992486622","https://openalex.org/W307265996","https://openalex.org/W2391245565","https://openalex.org/W2088739888"],"abstract_inverted_index":{"In":[0,86,154],"this":[1,87],"paper,":[2],"three-dimensional":[3,34],"data":[4],"reconstruction":[5],"with":[6],"a":[7,48,133],"small":[8],"scale":[9],"based":[10,59,158],"on":[11,60,159],"micro":[12],"stereo-vision":[13,20],"is":[14,30,67,137,165],"discussed.":[15],"An":[16,57],"inversion":[17],"model":[18],"of":[19,36,47,50,72,79,91,99,128,144,169],"that":[21],"connects":[22],"the":[23,27,40,54,77,89,97,107,110,115,124,141,150,155],"object":[24,37,41],"space":[25,29,42],"and":[26,64,82,103,114,161],"image":[28,45,51,55],"derived":[31,148],"to":[32],"obtain":[33],"coordinates":[35,46],"point":[38],"in":[39,53],"from":[43,149],"two-dimensional":[44],"pair":[49],"points":[52],"space.":[56],"algorithm":[58],"multi":[61,100],"similarity":[62,80,101],"measurements":[63,81,102],"multi-matching":[65,104],"areas":[66,84],"proposed":[68],"for":[69,167],"stereo":[70],"matching":[71,83,92,112,117,129,135],"color":[73],"images,":[74],"which":[75],"considers":[76],"impacts":[78],"fully.":[85],"algorithm,":[88],"samples":[90,147],"output":[93,130],"are":[94,119],"acquired":[95],"by":[96,122,139],"statistics":[98,127],"areas.":[105],"On":[106],"other":[108],"hand,":[109],"false":[111],"results":[113,118],"wrong":[116],"partially":[120],"filtered":[121],"performing":[123],"mean-square":[125,151],"error":[126,152],"samples.":[131],"Furthermore,":[132],"sub-pixel":[134],"accuracy":[136],"expected":[138],"calculating":[140],"average":[142],"values":[143],"two":[145],"new":[146],"statistics.":[153],"software":[156],"platform":[157],"VC++":[160],"OpenGL,":[162],"computer-aided":[163],"design":[164],"designed":[166],"filter":[168],"abnormal":[170],"data.":[171]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
