{"id":"https://openalex.org/W4410394381","doi":"https://doi.org/10.1109/tim.2025.3570358","title":"EDWG: Efficient Edge Detection and Wireframe Generation From Point Clouds","display_name":"EDWG: Efficient Edge Detection and Wireframe Generation From Point Clouds","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4410394381","doi":"https://doi.org/10.1109/tim.2025.3570358"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2025.3570358","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3570358","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5028794540","display_name":"Yike Xu","orcid":"https://orcid.org/0000-0003-4583-4589"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yike Xu","raw_affiliation_strings":["School of Computer and Information Science, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Science, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016717473","display_name":"Jianwei Guo","orcid":"https://orcid.org/0000-0002-3376-1725"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwei Guo","raw_affiliation_strings":["School of Artificial Intelligence, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035209503","display_name":"Li Cao","orcid":"https://orcid.org/0000-0003-4025-8690"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Cao","raw_affiliation_strings":["School of Computer and Information Science, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Science, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100616339","display_name":"Xiaoping Liu","orcid":"https://orcid.org/0000-0002-0760-6262"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoping Liu","raw_affiliation_strings":["School of Computer and Information Science, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Science, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5028794540"],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":2.2406,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.85993914,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9980000257492065,"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":0.9980000257492065,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.9952999949455261,"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":0.5706103444099426},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5426284670829773},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.4354930818080902},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.41482871770858765},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3953671455383301},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.31936949491500854},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13156911730766296},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.12569400668144226}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5706103444099426},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5426284670829773},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.4354930818080902},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.41482871770858765},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3953671455383301},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.31936949491500854},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13156911730766296},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.12569400668144226}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2025.3570358","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3570358","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G2824876701","display_name":null,"funder_award_id":"62172416","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3645435832","display_name":null,"funder_award_id":"U22B2034","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G577402600","display_name":null,"funder_award_id":"62277014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5786514454","display_name":null,"funder_award_id":"2022-QY-203","funder_id":"https://openalex.org/F4320336589","funder_display_name":"Guangxi Key Research and Development Program"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336589","display_name":"Guangxi Key Research and Development Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1965722128","https://openalex.org/W1998451154","https://openalex.org/W2112477742","https://openalex.org/W2145023731","https://openalex.org/W2591999710","https://openalex.org/W2884154111","https://openalex.org/W2884561390","https://openalex.org/W2963727135","https://openalex.org/W2972931660","https://openalex.org/W2979750740","https://openalex.org/W3042746556","https://openalex.org/W3128252107","https://openalex.org/W3174578140","https://openalex.org/W4205490894","https://openalex.org/W4225788898","https://openalex.org/W4284888418","https://openalex.org/W4286611065","https://openalex.org/W4286611309","https://openalex.org/W4291317619","https://openalex.org/W4310924423","https://openalex.org/W4321512640","https://openalex.org/W4382491114","https://openalex.org/W4384023636","https://openalex.org/W4385245566","https://openalex.org/W4385535012","https://openalex.org/W4386076534","https://openalex.org/W4386083081","https://openalex.org/W4386212358","https://openalex.org/W4386918784","https://openalex.org/W4390204326","https://openalex.org/W4390871927","https://openalex.org/W4392405414","https://openalex.org/W4400681818","https://openalex.org/W4400818419","https://openalex.org/W4402630617","https://openalex.org/W4402979811","https://openalex.org/W6739778489","https://openalex.org/W6763422710","https://openalex.org/W6780528297","https://openalex.org/W6791016499"],"related_works":["https://openalex.org/W4389574804","https://openalex.org/W3016928466","https://openalex.org/W2936725271","https://openalex.org/W3150655618","https://openalex.org/W3108295644","https://openalex.org/W1578717197","https://openalex.org/W2626737336","https://openalex.org/W2005998065","https://openalex.org/W2980582925","https://openalex.org/W2295788148"],"abstract_inverted_index":{"Generating":[0],"3D":[1,11],"wireframe":[2,25,36,82,95,108,137,141],"from":[3,37],"point":[4,38,48,53,86,100,120],"cloud":[5],"has":[6],"been":[7],"widely":[8],"applied":[9,148],"in":[10,17,74,126],"measurement.":[12],"The":[13,40,140],"primary":[14],"challenge":[15],"lies":[16],"accurately":[18],"detecting":[19],"edge":[20,47,64,72,85,99,127],"points":[21],"and":[22,55,102,118,129],"constructing":[23],"complete":[24],"structures.":[26],"To":[27],"address":[28],"this,":[29],"EDWG":[30,122,144],"is":[31,91],"proposed":[32],"to":[33,62,105,138,149],"efficiently":[34],"generate":[35],"clouds.":[39],"approach":[41],"begins":[42],"with":[43],"a":[44,56,88],"deep":[45],"learning-based":[46],"detection":[49,128],"network,":[50],"incorporating":[51],"local":[52],"self-attention":[54],"multi":[57],"level":[58],"feature":[59],"fusion":[60],"module":[61],"enhance":[63],"perception.":[65],"These":[66],"innovative":[67],"mechanisms":[68],"can":[69,145],"effectively":[70],"capture":[71],"information":[73],"complex":[75],"environments,":[76],"thus":[77],"laying":[78],"the":[79,107,131,136],"foundation":[80],"for":[81],"generation.":[83],"Following":[84],"detection,":[87],"four-step":[89],"process":[90],"employed,":[92],"which":[93],"includes":[94],"initialization,":[96],"outlier":[97],"removal,":[98],"reconnection,":[101],"spline":[103],"fitting":[104],"construct":[106],"structure.":[109],"Through":[110],"extensive":[111],"experiments":[112],"on":[113],"several":[114],"challenging":[115],"publicly":[116],"datasets":[117],"measurement":[119],"clouds,":[121],"achieves":[123],"98.8%":[124],"accuracy":[125],"reduces":[130],"chamfer":[132],"distance":[133],"error":[134],"of":[135],"0.012.":[139],"generated":[142],"by":[143],"be":[146],"directly":[147],"geometric":[150],"tasks":[151],"such":[152],"as":[153],"surface":[154],"reconstruction.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}