{"id":"https://openalex.org/W6884633412","doi":"https://doi.org/10.1109/tmech.2025.3541180","title":"Viewpoint Planning for Active 3-D Reconstruction of Freeform Surface Parts Based on DDPG-3DCNN","display_name":"Viewpoint Planning for Active 3-D Reconstruction of Freeform Surface Parts Based on DDPG-3DCNN","publication_year":2025,"publication_date":"2025-03-05","ids":{"openalex":"https://openalex.org/W6884633412","doi":"https://doi.org/10.1109/tmech.2025.3541180"},"language":"en","primary_location":{"id":"doi:10.1109/tmech.2025.3541180","doi":"https://doi.org/10.1109/tmech.2025.3541180","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmech.2025.3541180","pdf_url":null,"source":{"id":"https://openalex.org/S13961689","display_name":"IEEE/ASME Transactions on Mechatronics","issn_l":"1083-4435","issn":["1083-4435","1941-014X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-b","jufo-3","norway-2","poland-140","russia-white-list-1","vabb-shw"],"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/ASME Transactions on Mechatronics","raw_type":"journal-article"},"volume":null,"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":null,"display_name":"Jun Ye","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Ye","raw_affiliation_strings":["National Engineering Research Center for Robot Visual Perception and Control Technology, School of Electrical and Information Engineering, Hunan University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Robot Visual Perception and Control Technology, School of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003159900","display_name":"Qiu Fang","orcid":"https://orcid.org/0000-0001-9797-2081","observed_orcids":["https://orcid.org/0000-0001-9797-2081"]},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiu Fang","raw_affiliation_strings":["National Engineering Research Center for Robot Visual Perception and Control Technology, School of Electrical and Information Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-9797-2081","affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Robot Visual Perception and Control Technology, School of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068320588","display_name":"Weixing Peng","orcid":"https://orcid.org/0000-0002-5594-5146","observed_orcids":["https://orcid.org/0000-0002-5594-5146"]},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weixing Peng","raw_affiliation_strings":["National Engineering Research Center for Robot Visual Perception and Control Technology, School of Electrical and Information Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-5594-5146","affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Robot Visual Perception and Control Technology, School of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078007640","display_name":"Fuqiang Zhong","orcid":"https://orcid.org/0000-0002-7202-5608","observed_orcids":["https://orcid.org/0000-0002-7202-5608"]},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuqiang Zhong","raw_affiliation_strings":["National Engineering Research Center for Robot Visual Perception and Control Technology, School of Electrical and Information Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-7202-5608","affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Robot Visual Perception and Control Technology, School of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yaonan Wang","orcid":"https://orcid.org/0000-0002-0519-6458","observed_orcids":["https://orcid.org/0000-0002-0519-6458"]},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaonan Wang","raw_affiliation_strings":["National Engineering Research Center for Robot Visual Perception and Control Technology, School of Electrical and Information Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-0519-6458","affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Robot Visual Perception and Control Technology, School of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":1.3468,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.79928338,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"30","issue":"6","first_page":"6560","last_page":"6570"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.6068999767303467,"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"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.6068999767303467,"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"}},{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.12849999964237213,"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/T11583","display_name":"Advanced Measurement and Metrology Techniques","score":0.07280000299215317,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/viewpoint-planning","display_name":"viewpoint planning","score":0.9950000047683716},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.8730000257492065},{"id":"https://openalex.org/keywords/ddpg","display_name":"deep deterministic policy gradient","score":0.8980000019073486},{"id":"https://openalex.org/keywords/3d-convolutional-neural-networks","display_name":"3D convolutional neural networks","score":0.906000018119812},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"reinforcement learning","score":0.8679999709129333},{"id":"https://openalex.org/keywords/point-cloud-registration","display_name":"point cloud registration","score":0.8460000157356262},{"id":"https://openalex.org/keywords/reward-function-design","display_name":"reward function design","score":0.7950000166893005},{"id":"https://openalex.org/keywords/3d-measurement","display_name":"3D measurement","score":0.7350000143051147}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7177000045776367},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6025000214576721},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.5723999738693237},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5437999963760376},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.4862000048160553},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4772999882698059},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.4627000093460083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4433000087738037},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.40950000286102295},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.3993000090122223},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38429999351501465},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.3610999882221222},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.36090001463890076},{"id":"https://openalex.org/C2777774050","wikidata":"https://www.wikidata.org/wiki/Q16945110","display_name":"Control point","level":2,"score":0.3156999945640564},{"id":"https://openalex.org/C20885615","wikidata":"https://www.wikidata.org/wiki/Q825595","display_name":"Surface reconstruction","level":3,"score":0.313400000333786},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.31290000677108765},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.3124000132083893},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3093000054359436},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.2741999924182892},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.26179999113082886},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.26179999113082886},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.2524000108242035}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmech.2025.3541180","doi":"https://doi.org/10.1109/tmech.2025.3541180","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmech.2025.3541180","pdf_url":null,"source":{"id":"https://openalex.org/S13961689","display_name":"IEEE/ASME Transactions on Mechatronics","issn_l":"1083-4435","issn":["1083-4435","1941-014X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-b","jufo-3","norway-2","poland-140","russia-white-list-1","vabb-shw"],"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/ASME Transactions on Mechatronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.4335326850414276}],"study_designs":[],"awards":[{"id":"https://openalex.org/G1064613389","display_name":null,"funder_award_id":"2022M721095","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G4823452573","display_name":null,"funder_award_id":"2021ZD0113100","funder_id":"https://openalex.org/F4320329860","funder_display_name":"National Science and Technology Major Project"},{"id":"https://openalex.org/G5847120416","display_name":null,"funder_award_id":"BX20220101","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7696561177","display_name":null,"funder_award_id":"62203162","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G880670967","display_name":null,"funder_award_id":"61903134","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2071888022","https://openalex.org/W2078505501","https://openalex.org/W2107464713","https://openalex.org/W2132720564","https://openalex.org/W2141847241","https://openalex.org/W2155370467","https://openalex.org/W2417145579","https://openalex.org/W2573758756","https://openalex.org/W2605843382","https://openalex.org/W2613333231","https://openalex.org/W3009018472","https://openalex.org/W3016650291","https://openalex.org/W3023139129","https://openalex.org/W3082716588","https://openalex.org/W3126119618","https://openalex.org/W3131818940","https://openalex.org/W4313387849","https://openalex.org/W4377008028","https://openalex.org/W4378696849","https://openalex.org/W4382204590","https://openalex.org/W4386066515"],"related_works":[],"abstract_inverted_index":{"Three-dimensional":[0],"(3-D)":[1],"measurement":[2,155],"represents":[3],"a":[4,23,95,127,144,165],"promising":[5],"approach":[6,184],"for":[7,99],"assessing":[8],"the":[9,42,67,71,76,89,100,112,133,141,152],"quality":[10],"of":[11,44,70,79,88,103,143,181],"freeform":[12,80,104],"surface":[13,58,81,105],"parts":[14,106],"with":[15,56,107,118],"stringent":[16],"precision":[17,109],"requirements,":[18,110],"where":[19],"viewpoint":[20,30,101,196],"planning":[21,31,102,197],"assumes":[22],"critical":[24,45],"role":[25],"in":[26,41,65,84,126,168],"3-D":[27,119],"reconstruction.":[28],"Prevailing":[29],"methods":[32,177],"typically":[33],"operate":[34],"within":[35],"discrete":[36],"spaces,":[37],"which":[38],"can":[39,206],"result":[40],"loss":[43],"details":[46],"due":[47,74],"to":[48,54,75,122,151,192],"quantization":[49],"errors,":[50],"particularly":[51],"when":[52],"applied":[53],"products":[55],"intricate":[57],"structures.":[59],"Moreover,":[60],"conventional":[61],"approaches":[62],"encounter":[63],"difficulties":[64],"controlling":[66],"overlap":[68,136,171],"rate":[69,137,172],"point":[72,90,134,169],"cloud":[73,135,170],"unique":[77,145],"characteristics":[78],"structures,":[82],"resulting":[83],"diminished":[85],"registration":[86],"accuracy":[87],"cloud.":[91],"This":[92],"article":[93],"introduces":[94],"reinforcement":[96,194],"learning":[97],"framework":[98],"high":[108],"utilizing":[111],"Deep":[113],"Deterministic":[114],"Policy":[115],"Gradient":[116],"algorithm":[117],"convolutional":[120],"structures":[121],"address":[123],"optimal":[124],"viewpoints":[125,190],"continuous":[128],"space.":[129],"Effective":[130],"control":[131,173],"over":[132],"is":[138],"achieved":[139],"through":[140],"design":[142],"reward":[146],"function.":[147],"Furthermore,":[148],"constraints":[149],"related":[150],"eye-in-hand":[153],"robot":[154],"equipment":[156],"are":[157],"formulated.":[158],"Through":[159],"real":[160],"experiments,":[161],"our":[162],"method":[163],"demonstrates":[164],"substantial":[166],"improvement":[167],"accuracy,":[174],"surpassing":[175],"existing":[176],"by":[178],"an":[179],"order":[180],"magnitude.":[182],"Our":[183],"achieves":[185],"higher":[186],"coverage":[187],"using":[188],"fewer":[189],"compared":[191],"other":[193],"learning-based":[195],"methods.":[198],"In":[199],"addition,":[200],"it":[201],"exhibits":[202],"generalization":[203],"capabilities":[204],"and":[205],"assess":[207],"models":[208],"that":[209],"have":[210],"not":[211],"been":[212],"previously":[213],"encountered.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2025-10-10T00:00:00"}