{"id":"https://openalex.org/W2920893419","doi":"https://doi.org/10.1109/access.2019.2905273","title":"Optimization of Line Extraction Based on an Affine Camera Model","display_name":"Optimization of Line Extraction Based on an Affine Camera Model","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2920893419","doi":"https://doi.org/10.1109/access.2019.2905273","mag":"2920893419"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2905273","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2905273","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08667837.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08667837.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069802156","display_name":"Qiang Wang","orcid":"https://orcid.org/0000-0002-9450-2030"},"institutions":[{"id":"https://openalex.org/I15062923","display_name":"Tianjin Normal University","ror":"https://ror.org/05x2td559","country_code":"CN","type":"education","lineage":["https://openalex.org/I15062923"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Wang","raw_affiliation_strings":["School of Geographic and Environment Science, Tianjin Normal University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-9450-2030","affiliations":[{"raw_affiliation_string":"School of Geographic and Environment Science, Tianjin Normal University, Tianjin, China","institution_ids":["https://openalex.org/I15062923"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100374669","display_name":"Yongsheng Zhang","orcid":"https://orcid.org/0000-0002-1104-5605"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yongsheng Zhang","raw_affiliation_strings":["China Nuclear Industry 23 Construction Co., Ltd., Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Nuclear Industry 23 Construction Co., Ltd., Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100324116","display_name":"Yanyan Li","orcid":"https://orcid.org/0000-0001-7292-9175"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yanyan Li","raw_affiliation_strings":["Department of Informatics, Technical University of Munich, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101584424","display_name":"Zhenxin Zhang","orcid":"https://orcid.org/0000-0002-4070-9415"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenxin Zhang","raw_affiliation_strings":["Beijing Advanced Innovation Center for Imaging Theory and Technology, Capital Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Imaging Theory and Technology, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100686944","display_name":"Tiejun Cui","orcid":"https://orcid.org/0000-0002-5417-7931"},"institutions":[{"id":"https://openalex.org/I15062923","display_name":"Tianjin Normal University","ror":"https://ror.org/05x2td559","country_code":"CN","type":"education","lineage":["https://openalex.org/I15062923"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiejun Cui","raw_affiliation_strings":["School of Geographic and Environment Science, Tianjin Normal University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geographic and Environment Science, Tianjin Normal University, Tianjin, China","institution_ids":["https://openalex.org/I15062923"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100731950","display_name":"Lei Yan","orcid":"https://orcid.org/0000-0002-4638-712X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Yan","raw_affiliation_strings":["Beijing Key Laboratory of Spatial Information Integration and Its Application, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Spatial Information Integration and Its Application, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.01362292,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"7","issue":null,"first_page":"37151","last_page":"37166"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9995999932289124,"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":0.9987999796867371,"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/affine-transformation","display_name":"Affine transformation","score":0.8803743124008179},{"id":"https://openalex.org/keywords/affine-shape-adaptation","display_name":"Affine shape adaptation","score":0.7593675851821899},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.6476258635520935},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6401652097702026},{"id":"https://openalex.org/keywords/harris-affine-region-detector","display_name":"Harris affine region detector","score":0.6293457746505737},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5759064555168152},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5722157955169678},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5660361051559448},{"id":"https://openalex.org/keywords/line-segment","display_name":"Line segment","score":0.5555543899536133},{"id":"https://openalex.org/keywords/affine-coordinate-system","display_name":"Affine coordinate system","score":0.4937160909175873},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.46743765473365784},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.4410555362701416},{"id":"https://openalex.org/keywords/affine-hull","display_name":"Affine hull","score":0.4206814169883728},{"id":"https://openalex.org/keywords/affine-combination","display_name":"Affine combination","score":0.39179426431655884},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3597128987312317},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3340443968772888},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31402283906936646},{"id":"https://openalex.org/keywords/affine-space","display_name":"Affine space","score":0.1401439905166626},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.13162264227867126}],"concepts":[{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.8803743124008179},{"id":"https://openalex.org/C18516315","wikidata":"https://www.wikidata.org/wiki/Q4688950","display_name":"Affine shape adaptation","level":4,"score":0.7593675851821899},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.6476258635520935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6401652097702026},{"id":"https://openalex.org/C6408098","wikidata":"https://www.wikidata.org/wiki/Q17021115","display_name":"Harris affine region detector","level":5,"score":0.6293457746505737},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5759064555168152},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5722157955169678},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5660361051559448},{"id":"https://openalex.org/C182124507","wikidata":"https://www.wikidata.org/wiki/Q166154","display_name":"Line segment","level":2,"score":0.5555543899536133},{"id":"https://openalex.org/C95565831","wikidata":"https://www.wikidata.org/wiki/Q382698","display_name":"Affine coordinate system","level":4,"score":0.4937160909175873},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.46743765473365784},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.4410555362701416},{"id":"https://openalex.org/C112128483","wikidata":"https://www.wikidata.org/wiki/Q382504","display_name":"Affine hull","level":4,"score":0.4206814169883728},{"id":"https://openalex.org/C207221997","wikidata":"https://www.wikidata.org/wiki/Q938614","display_name":"Affine combination","level":3,"score":0.39179426431655884},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3597128987312317},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3340443968772888},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31402283906936646},{"id":"https://openalex.org/C173110770","wikidata":"https://www.wikidata.org/wiki/Q382698","display_name":"Affine space","level":3,"score":0.1401439905166626},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.13162264227867126},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2019.2905273","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2905273","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08667837.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9c72954f640d46878da97c1020cc2dda","is_oa":true,"landing_page_url":"https://doaj.org/article/9c72954f640d46878da97c1020cc2dda","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":"IEEE Access, Vol 7, Pp 37151-37166 (2019)","raw_type":"article"},{"id":"pmh:oai:mediatum.ub.tum.de:node/1544876","is_oa":true,"landing_page_url":"http://mediatum.ub.tum.de/node?id=1544876","pdf_url":null,"source":{"id":"https://openalex.org/S4306400453","display_name":"mediaTUM \u2013 the media and publications repository of the Technical University Munich (Technical University Munich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I62916508","host_organization_name":"Technical University of Munich","host_organization_lineage":["https://openalex.org/I62916508"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2905273","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2905273","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08667837.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G3879756750","display_name":null,"funder_award_id":"41701533","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G61200788","display_name":"\u57fa\u4e8e\u4e3b\u9898\u56fe\u7684\u57ce\u5e02\u7a7a\u95f4\u4fe1\u606f\u5173\u8054\u4e0e\u77e5\u8bc6\u6574\u5408\u7814\u7a76","funder_award_id":"41471314","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7565300554","display_name":null,"funder_award_id":"OFSLRSS201818","funder_id":"https://openalex.org/F4320326981","funder_display_name":"State Key Laboratory of Remote Sensing Science"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326981","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2920893419.pdf","grobid_xml":"https://content.openalex.org/works/W2920893419.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1964573040","https://openalex.org/W2008471589","https://openalex.org/W2008849352","https://openalex.org/W2021278996","https://openalex.org/W2052094314","https://openalex.org/W2053982447","https://openalex.org/W2081852578","https://openalex.org/W2095905764","https://openalex.org/W2099034771","https://openalex.org/W2121453698","https://openalex.org/W2145023731","https://openalex.org/W2155912251","https://openalex.org/W2156953558","https://openalex.org/W2160072137","https://openalex.org/W2161946528","https://openalex.org/W2294517651","https://openalex.org/W2294634632","https://openalex.org/W2520920593","https://openalex.org/W2529656272","https://openalex.org/W2538759162","https://openalex.org/W2732128893","https://openalex.org/W2744035962","https://openalex.org/W2754445312","https://openalex.org/W2791765404","https://openalex.org/W4250533120"],"related_works":["https://openalex.org/W2184784635","https://openalex.org/W2038416447","https://openalex.org/W1510464305","https://openalex.org/W2077614002","https://openalex.org/W2016861691","https://openalex.org/W2106401644","https://openalex.org/W2498386001","https://openalex.org/W2036246238","https://openalex.org/W2079039086","https://openalex.org/W2180439206"],"abstract_inverted_index":{"Line":[0],"feature":[1],"constitutes":[2],"important":[3],"geometric":[4,187],"structure":[5,18],"information":[6],"in":[7,13],"image":[8,138,151,157,173],"processing":[9],"and":[10,16,34,73,117,139,181,195,204,217,223,258,277],"is":[11,50,57,95,107,124,152],"significant":[12],"visual":[14],"navigation":[15],"3-D":[17,22],"contour":[19],"extraction":[20,28,41,90,229],"of":[21,81,120,145,215,248],"objects.":[23],"The":[24,237,264],"current":[25],"state-of-the-art":[26,227],"line":[27,40,49,56,76,89,131,146,168,228,233,251,262,267,272],"methods":[29,42],"exhibit":[30],"fast":[31],"extracting":[32,36],"speed":[33],"good":[35],"results.":[37],"However,":[38],"most":[39],"face":[43],"a":[44,47,54,118,226],"problem,":[45],"wherein":[46],"long":[48,55,210],"easily":[51],"fragmented.":[52],"Thus,":[53,199],"broken":[58],"into":[59,209],"several":[60,213],"short":[61,197,205],"segments":[62,77,132,147,169,268],"due":[63],"to":[64,109,178,191,271],"local":[65],"small":[66],"changes":[67],"or":[68],"disturbances.":[69],"To":[70],"obtain":[71],"longer":[72],"more":[74,260],"useful":[75,261],"without":[78],"the":[79,103,136,149,155,167,171,232,241,246,249,255],"aid":[80],"external":[82],"information,":[83],"this":[84],"paper":[85],"proposes":[86],"an":[87,98],"improved":[88,266],"method":[91,243],"called":[92,231],"affine-lines,":[93],"which":[94],"based":[96,158],"on":[97,148,154,159,170],"affine":[99,104,111,121,127,163],"camera":[100,105],"model.":[101],"First,":[102],"model":[106],"used":[108,175,190],"simulate":[110],"projections":[112],"from":[113,135],"different":[114],"viewing":[115],"angles,":[116],"sequence":[119],"simulated":[122,141,150],"images":[123],"obtained":[125,250],"via":[126,225],"transformation":[128,164],"matrices.":[129],"Subsequently,":[130],"are":[133,174,189,202,207,221,269,280],"extracted":[134,265],"original":[137,156,172],"each":[140],"image.":[142],"Each":[143],"set":[144],"back-projected":[153],"its":[160],"corresponding":[161],"inversely":[162],"matrix.":[165],"Finally,":[166],"as":[176],"references":[177],"sequentially":[179],"purify":[180],"optimize":[182],"subsequent":[183],"lines.":[184,198,211],"Several":[185],"defined":[186],"constraints":[188],"eliminate":[192],"pseudo":[193],"lines":[194,201,206],"combine":[196],"fragmented":[200],"connected,":[203],"converted":[208],"Given":[212],"sets":[214],"close-range":[216],"aerial":[218],"images,":[219],"experiments":[220],"performed":[222],"compared":[224],"algorithm,":[230],"segment":[234],"detector":[235],"(LSD).":[236],"results":[238,279],"indicate":[239],"that":[240],"proposed":[242],"significantly":[244,253],"increases":[245],"lengths":[247],"segments,":[252],"reduces":[254],"fragmentation":[256],"effect,":[257],"obtains":[259],"segments.":[263],"applied":[270],"matching":[273],"for":[274],"building":[275],"structures,":[276],"promising":[278],"obtained.":[281]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
