{"id":"https://openalex.org/W4403277027","doi":"https://doi.org/10.1109/tim.2024.3476594","title":"3-D Trajectory Planning Scheme for Shoe Upper Processing","display_name":"3-D Trajectory Planning Scheme for Shoe Upper Processing","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4403277027","doi":"https://doi.org/10.1109/tim.2024.3476594"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2024.3476594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3476594","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/A5108183868","display_name":"Xiaojie Hou","orcid":"https://orcid.org/0009-0001-9067-6869"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojie Hou","raw_affiliation_strings":["School of Information Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0009-0001-9067-6869","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I1328775524"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101930547","display_name":"Junfeng Li","orcid":"https://orcid.org/0000-0002-1207-3317"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junfeng Li","raw_affiliation_strings":["School of Information Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0002-1207-3317","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I1328775524"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1328775524"],"apc_list":null,"apc_paid":null,"fwci":0.2044,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49057341,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"73","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9799000024795532,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9799000024795532,"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/T11201","display_name":"Metallurgy and Material Forming","score":0.9595999717712402,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.9535999894142151,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/trajectory","display_name":"Trajectory","score":0.6811619997024536},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.6156314015388489},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5107421875},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16028067469596863},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13853690028190613}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6811619997024536},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.6156314015388489},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5107421875},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16028067469596863},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13853690028190613},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2024.3476594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3476594","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":[{"display_name":"Sustainable cities and communities","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G3887594546","display_name":null,"funder_award_id":"2023C01062","funder_id":"https://openalex.org/F4320317323","funder_display_name":"Key Research and Development Program of Heilongjiang"},{"id":"https://openalex.org/G7644886111","display_name":null,"funder_award_id":"LGF22F030001","funder_id":"https://openalex.org/F4320338468","funder_display_name":"Basic Public Welfare Research Program of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320317323","display_name":"Key Research and Development Program of Heilongjiang","ror":null},{"id":"https://openalex.org/F4320338468","display_name":"Basic Public Welfare Research Program of Zhejiang Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W2028573038","https://openalex.org/W2049981393","https://openalex.org/W2089796650","https://openalex.org/W2138471467","https://openalex.org/W2160821342","https://openalex.org/W2270543148","https://openalex.org/W2292482869","https://openalex.org/W2436494909","https://openalex.org/W2594438192","https://openalex.org/W2969981828","https://openalex.org/W3008312787","https://openalex.org/W3013639435","https://openalex.org/W3114414434","https://openalex.org/W3120240576","https://openalex.org/W3138891080","https://openalex.org/W3139114047","https://openalex.org/W3156903052","https://openalex.org/W4210617051","https://openalex.org/W4225269203","https://openalex.org/W4226155484","https://openalex.org/W4285257483","https://openalex.org/W4293071267","https://openalex.org/W4307437122","https://openalex.org/W4316661051","https://openalex.org/W4322629400","https://openalex.org/W4377101722","https://openalex.org/W4383428297","https://openalex.org/W4384704106","https://openalex.org/W4386065759","https://openalex.org/W4390603626"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4323768008","https://openalex.org/W1941703695","https://openalex.org/W4248382324"],"abstract_inverted_index":{"Obtaining":[0],"the":[1,24,35,42,64,67,72,106,132,142,155,192,196,200,212,215,219,225,228],"processing":[2,48,80,99,216,229,255,261],"trajectory":[3,100,217,274],"for":[4,26,29,50,76,184],"shoe":[5,9,31,52,78,107,143,197,220,253],"uppers":[6,108],"in":[7,63,191,231,250,273],"automated":[8,38],"production":[10],"presents":[11],"significant":[12],"challenges.":[13],"The":[14],"labor-intensive":[15],"and":[16,44,59,98,118,172,223,266,271],"inefficient":[17],"nature":[18],"of":[19,37,47,91,105,195,214,227],"manual":[20,247],"teaching,":[21],"compounded":[22],"by":[23],"need":[25],"individualized":[27],"instruction":[28],"each":[30],"style,":[32],"severely":[33],"undermines":[34],"efficiency":[36,270],"shoemaking":[39,65],"processes.":[40],"Consequently,":[41],"automation":[43],"intelligent":[45],"planning":[46,77],"trajectories":[49,81],"different":[51],"types":[53],"has":[54],"emerged":[55],"as":[56,160],"a":[57,74,115,161,203,258],"challenging":[58],"prominent":[60],"research":[61],"topic":[62],"industry;":[66],"article,":[68],"building":[69],"upon":[70],"this,":[71],"introduces":[73],"method":[75,179,206,244],"upper":[79,221,254],"using":[82,207],"an":[83,174],"improved":[84],"maximal":[85],"cliques":[86],"registration":[87,170,186],"approach,":[88],"comprised":[89],"primarily":[90],"two":[92],"stages:":[93],"3-D":[94,193],"point":[95,103,134,178,188],"cloud":[96],"reconstruction":[97,194],"extraction.":[101],"Initially,":[102],"clouds":[104],"are":[109,129,158],"captured":[110],"from":[111,131,151],"multiple":[112],"angles":[113],"via":[114],"vision":[116],"platform":[117],"subsequently":[119],"preprocessed":[120,133],"to":[121,140,164],"minimize":[122],"noise":[123],"interference":[124],"during":[125],"registration.":[126],"Subsequently,":[127],"features":[128],"extracted":[130],"clouds,":[135,189],"with":[136,180],"FPFH":[137],"descriptors":[138],"employed":[139],"characterize":[141],"uppers\u2019":[144],"local":[145],"features,":[146],"thereby":[147],"establishing":[148],"initial":[149,156],"correspondences":[150,157],"various":[152],"perspectives;":[153],"ultimately,":[154],"represented":[159],"compatibility":[162],"graph":[163],"identify":[165],"consistent":[166],"correspondences,":[167],"estimate":[168],"optimal":[169],"parameters,":[171],"apply":[173],"enhanced":[175],"iterative":[176],"closest":[177],"direction":[181],"vector":[182],"constraints":[183],"precise":[185],"between":[187],"culminating":[190],"uppers.":[198],"Furthermore,":[199],"article":[201],"outlines":[202],"camera-robot":[204],"calibration":[205],"principal":[208],"component":[209],"analysis,":[210],"details":[211],"extraction":[213],"on":[218,235],"model,":[222],"describes":[224],"generation":[226],"path":[230],"robot":[232],"space":[233],"based":[234],"this":[236,243],"trajectory.":[237],"Extensive":[238],"experimental":[239],"results":[240],"demonstrate":[241],"that":[242],"significantly":[245],"outperforms":[246],"teaching":[248],"techniques":[249],"efficiently":[251],"extracting":[252],"trajectories,":[256],"achieving":[257],"final":[259],"z-axis":[260],"accuracy":[262],"within":[263],"1":[264],"mm":[265],"ensuring":[267],"both":[268],"high":[269],"consistency":[272],"acquisition.":[275]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}