{"id":"https://openalex.org/W4409536700","doi":"https://doi.org/10.1109/icvisp64524.2024.10959601","title":"Line-Structured Light Based 3D Reconstruction Algorithm for Ice Surface","display_name":"Line-Structured Light Based 3D Reconstruction Algorithm for Ice Surface","publication_year":2024,"publication_date":"2024-12-27","ids":{"openalex":"https://openalex.org/W4409536700","doi":"https://doi.org/10.1109/icvisp64524.2024.10959601"},"language":"en","primary_location":{"id":"doi:10.1109/icvisp64524.2024.10959601","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icvisp64524.2024.10959601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 8th International Conference on Vision, Image and Signal Processing (ICVISP)","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/A5064214250","display_name":"Chengzhi Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chengzhi Jiang","raw_affiliation_strings":["School of Computer and Software Engineering, Xihua University,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Software Engineering, Xihua University,Chengdu,China","institution_ids":["https://openalex.org/I102345215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102804312","display_name":"Zhen Ren","orcid":"https://orcid.org/0000-0002-6646-6351"},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Ren","raw_affiliation_strings":["School of Computer and Software Engineering, Xihua University,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Software Engineering, Xihua University,Chengdu,China","institution_ids":["https://openalex.org/I102345215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100341650","display_name":"Yuxiang Li","orcid":"https://orcid.org/0000-0002-1575-3692"},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxiang Li","raw_affiliation_strings":["School of Computer and Software Engineering, Xihua University,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Software Engineering, Xihua University,Chengdu,China","institution_ids":["https://openalex.org/I102345215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089240137","display_name":"Zhisheng Gao","orcid":"https://orcid.org/0000-0002-0470-8861"},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhisheng Gao","raw_affiliation_strings":["School of Computer and Software Engineering, Xihua University,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Software Engineering, Xihua University,Chengdu,China","institution_ids":["https://openalex.org/I102345215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064214250"],"corresponding_institution_ids":["https://openalex.org/I102345215"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22585319,"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9545999765396118,"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/T13176","display_name":"Winter Sports Injuries and Performance","score":0.9524999856948853,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/structured-light","display_name":"Structured light","score":0.7199629545211792},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5895333886146545},{"id":"https://openalex.org/keywords/surface-reconstruction","display_name":"Surface reconstruction","score":0.5856471657752991},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4625605344772339},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.4302322268486023},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.4162978529930115},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3284139633178711},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.30050599575042725},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12575310468673706},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09473347663879395}],"concepts":[{"id":"https://openalex.org/C193581530","wikidata":"https://www.wikidata.org/wiki/Q683778","display_name":"Structured light","level":2,"score":0.7199629545211792},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5895333886146545},{"id":"https://openalex.org/C20885615","wikidata":"https://www.wikidata.org/wiki/Q825595","display_name":"Surface reconstruction","level":3,"score":0.5856471657752991},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4625605344772339},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.4302322268486023},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.4162978529930115},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3284139633178711},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.30050599575042725},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12575310468673706},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09473347663879395}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icvisp64524.2024.10959601","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icvisp64524.2024.10959601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 8th International Conference on Vision, Image and Signal Processing (ICVISP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W2156155065","https://openalex.org/W2556967412","https://openalex.org/W2606896615","https://openalex.org/W2616670329","https://openalex.org/W2806070179","https://openalex.org/W2884585870","https://openalex.org/W2897429876","https://openalex.org/W2945957599","https://openalex.org/W2990695106","https://openalex.org/W3015431291","https://openalex.org/W3040293477","https://openalex.org/W3117968013","https://openalex.org/W3128556585","https://openalex.org/W3177052299","https://openalex.org/W3194210916","https://openalex.org/W3212737625","https://openalex.org/W4210302585","https://openalex.org/W4210787840","https://openalex.org/W4211200453","https://openalex.org/W4312236210","https://openalex.org/W4327652243","https://openalex.org/W4372347372","https://openalex.org/W4398756379"],"related_works":["https://openalex.org/W2064026934","https://openalex.org/W2083481614","https://openalex.org/W3095081273","https://openalex.org/W2090665771","https://openalex.org/W2169427544","https://openalex.org/W1984855422","https://openalex.org/W122154308","https://openalex.org/W33542082","https://openalex.org/W2391505850","https://openalex.org/W2384105963"],"abstract_inverted_index":{"Line":[0],"structured":[1,41],"light":[2,93,110,117],"has":[3,29,136],"a":[4,105,138,159],"wide":[5],"range":[6],"of":[7,26,50,56,78,86,91,100,115,133,148,180,192,205,218,235,245,254,263,283,292],"applications":[8],"in":[9,37,73,104],"3D":[10,38,298],"measurement,":[11],"such":[12],"as":[13],"metal":[14],"parts,":[15,22],"weld":[16],"seams":[17],"and":[18,23,32,82,108,121,203,265,287,297],"other":[19],"precision":[20],"shaft":[21],"the":[24,46,51,54,57,76,79,83,87,92,98,101,109,113,116,123,130,134,146,149,153,170,175,184,189,193,197,206,209,216,219,233,236,243,252,255,260,280,290],"surface":[25,135,267],"ice":[27,52,88,102,198,264],"cubes":[28],"similar":[30],"characteristics":[31,49,191],"can":[33,186,277],"also":[34,119],"be":[35,65,95,141],"measured":[36],"using":[39],"line":[40],"light.":[42],"However,":[43],"due":[44],"to":[45,127,140,214,230,249],"distinctive":[47],"optical":[48],"surface,":[53,89,199],"brightness":[55],"captured":[58],"laser":[59,80,150,160,194,220,237,256,284,293],"stripes":[60,151,195,221,257],"at":[61],"certain":[62],"positions":[63],"may":[64],"either":[66],"insufficient":[67],"or":[68],"excessively":[69],"intense,":[70],"posing":[71],"difficulties":[72],"accurately":[74,128,144,250],"identifying":[75],"centerline":[77,147,217,234],"stripes;":[81],"high":[84,223,261],"transparency":[85,262],"part":[90],"will":[94,118],"projected":[96,111],"into":[97,112],"interior":[99,114],"resulting":[103],"weakened":[106],"reflection,":[107],"diffuse":[120],"affect":[122],"imaging.":[124],"Therefore,":[125],"how":[126],"measure":[129],"three-dimensional":[131],"structure":[132],"become":[137],"topic":[139],"studied.":[142],"To":[143],"identify":[145],"within":[152],"interference":[154],"image,":[155],"this":[156,275],"paper":[157],"introduces":[158],"stripe":[161,285,294],"center":[162,253,286,295],"extraction":[163,281,296],"algorithm":[164,185,211,227],"that":[165,274],"combines":[166],"deep":[167,181],"learning":[168,178],"with":[169,222],"Steger":[171,210],"algorithm.":[172],"By":[173],"leveraging":[174],"robust":[176],"feature":[177],"capabilities":[179],"neural":[182],"networks,":[183],"effectively":[187,241],"capture":[188],"overall":[190],"on":[196],"enabling":[200],"precise":[201],"detection":[202],"segmentation":[204],"stripes.":[207,238],"Subsequently,":[208,225],"is":[212,228],"applied":[213],"determine":[215,232],"accuracy.":[224],"Steger's":[226],"employed":[229],"precisely":[231],"This":[239],"approach":[240],"mitigates":[242],"problem":[244],"not":[246],"being":[247],"able":[248],"extract":[251],"caused":[258],"by":[259],"complex":[266],"reflection":[268],"characteristics.":[269],"Subsequent":[270],"experiments":[271],"have":[272],"proved":[273],"method":[276],"greatly":[278],"reduce":[279],"time":[282],"significantly":[288],"improve":[289],"accuracy":[291],"reconstruction.":[299]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}