{"id":"https://openalex.org/W4415123997","doi":"https://doi.org/10.1109/tip.2025.3618411","title":"Improving Robustness of Point Cloud Analysis Through Perturbation Simulation and Distortion-Guided Feature Augmentation","display_name":"Improving Robustness of Point Cloud Analysis Through Perturbation Simulation and Distortion-Guided Feature Augmentation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415123997","doi":"https://doi.org/10.1109/tip.2025.3618411","pmid":"https://pubmed.ncbi.nlm.nih.gov/41082425"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2025.3618411","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tip.2025.3618411","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/tip.2025.3618411","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075907597","display_name":"Jingming He","orcid":null},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jingming He","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Kowloon Tong, SAR, Hong Kong","Department of Computer Science, City University of Hong Kong, Hong Kong, SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon Tong, SAR, Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091541798","display_name":"Chong Li","orcid":"https://orcid.org/0000-0003-2218-3437"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chongyi Li","raw_affiliation_strings":["School of Computer Science, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-2218-3437","affiliations":[{"raw_affiliation_string":"School of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385178","display_name":"Shiqi Wang","orcid":"https://orcid.org/0000-0002-3583-959X"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shiqi Wang","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Kowloon Tong, SAR, Hong Kong","Department of Computer Science, City University of Hong Kong, Hong Kong, SAR, China"],"raw_orcid":"https://orcid.org/0000-0002-3583-959X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon Tong, SAR, Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008386708","display_name":"Sam Kwong","orcid":"https://orcid.org/0000-0001-7484-7261"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sam Kwong","raw_affiliation_strings":["School of Data Science, Lingnan University, Hong Kong, SAR, China"],"raw_orcid":"https://orcid.org/0000-0001-7484-7261","affiliations":[{"raw_affiliation_string":"School of Data Science, Lingnan University, Hong Kong, SAR, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21854406,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"34","issue":null,"first_page":"6683","last_page":"6698"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9965000152587891,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9965000152587891,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9952999949455261,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9886999726295471,"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/point-cloud","display_name":"Point cloud","score":0.7904999852180481},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7620000243186951},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5317000150680542},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4041999876499176},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.3779999911785126},{"id":"https://openalex.org/keywords/solid-modeling","display_name":"Solid modeling","score":0.3594000041484833},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.35670000314712524},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.34139999747276306}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7904999852180481},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7620000243186951},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7037000060081482},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5317000150680542},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48240000009536743},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4041999876499176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3930000066757202},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38920000195503235},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3779999911785126},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.3594000041484833},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.35670000314712524},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.34139999747276306},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.3336000144481659},{"id":"https://openalex.org/C177918212","wikidata":"https://www.wikidata.org/wiki/Q803623","display_name":"Perturbation (astronomy)","level":2,"score":0.328000009059906},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.3190999925136566},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2973000109195709},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.2825999855995178},{"id":"https://openalex.org/C155386361","wikidata":"https://www.wikidata.org/wiki/Q1649571","display_name":"Process control","level":3,"score":0.27900001406669617},{"id":"https://openalex.org/C31531917","wikidata":"https://www.wikidata.org/wiki/Q915157","display_name":"Robust control","level":3,"score":0.26170000433921814},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25940001010894775},{"id":"https://openalex.org/C88871306","wikidata":"https://www.wikidata.org/wiki/Q7208287","display_name":"Point process","level":2,"score":0.2556000053882599},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.2535000145435333},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2524000108242035}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2025.3618411","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tip.2025.3618411","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:41082425","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41082425","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:pure.atira.dk:publications/cf54e46d-b655-476b-98fe-79467bb67fc6","is_oa":true,"landing_page_url":"https://hdl.handle.net/2031/cf54e46d-b655-476b-98fe-79467bb67fc6","pdf_url":null,"source":{"id":"https://openalex.org/S7407055387","display_name":"CityU Scholars","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"He, J, Li, C, Wang, S & Kwong, S 2025, 'Improving Robustness of Point Cloud Analysis Through Perturbation Simulation and Distortion-Guided Feature Augmentation', IEEE Transactions on Image Processing, vol. 34, pp. 6683-6698. https://doi.org/10.1109/TIP.2025.3618411","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1109/tip.2025.3618411","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tip.2025.3618411","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3436530587","display_name":null,"funder_award_id":"N_CityU198/24","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G614977355","display_name":null,"funder_award_id":"070-63243143","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":81,"referenced_works":["https://openalex.org/W1920022804","https://openalex.org/W2150066425","https://openalex.org/W2560609797","https://openalex.org/W2607219512","https://openalex.org/W2610614679","https://openalex.org/W2897529137","https://openalex.org/W2949708697","https://openalex.org/W2962818872","https://openalex.org/W2962912109","https://openalex.org/W2963125977","https://openalex.org/W2963509914","https://openalex.org/W2963855547","https://openalex.org/W2968296999","https://openalex.org/W2968557240","https://openalex.org/W2971089407","https://openalex.org/W2981979099","https://openalex.org/W2982104318","https://openalex.org/W2990258745","https://openalex.org/W2990613095","https://openalex.org/W2991216808","https://openalex.org/W3003437478","https://openalex.org/W3008105217","https://openalex.org/W3034314779","https://openalex.org/W3035172746","https://openalex.org/W3035275207","https://openalex.org/W3035363555","https://openalex.org/W3044856323","https://openalex.org/W3093434340","https://openalex.org/W3109154950","https://openalex.org/W3111535274","https://openalex.org/W3116730076","https://openalex.org/W3118409809","https://openalex.org/W3118969708","https://openalex.org/W3127040757","https://openalex.org/W3137210930","https://openalex.org/W3137261495","https://openalex.org/W3158405343","https://openalex.org/W3167095230","https://openalex.org/W3170794970","https://openalex.org/W3171433839","https://openalex.org/W3174510152","https://openalex.org/W3177096435","https://openalex.org/W3177330511","https://openalex.org/W3187263517","https://openalex.org/W3198519842","https://openalex.org/W3202440717","https://openalex.org/W4206398307","https://openalex.org/W4224274660","https://openalex.org/W4288705760","https://openalex.org/W4293517970","https://openalex.org/W4310078553","https://openalex.org/W4310596280","https://openalex.org/W4312270234","https://openalex.org/W4313162344","https://openalex.org/W4319300037","https://openalex.org/W4367016777","https://openalex.org/W4386057748","https://openalex.org/W4386066265","https://openalex.org/W4386071758","https://openalex.org/W4386075722","https://openalex.org/W4386076667","https://openalex.org/W4390872460","https://openalex.org/W4390873072","https://openalex.org/W4390873140","https://openalex.org/W4390873569","https://openalex.org/W4390874665","https://openalex.org/W4391741775","https://openalex.org/W4392173041","https://openalex.org/W4392543429","https://openalex.org/W4392979609","https://openalex.org/W4393154884","https://openalex.org/W4399452735","https://openalex.org/W4401634204","https://openalex.org/W4402753960","https://openalex.org/W4402772288","https://openalex.org/W4403510947","https://openalex.org/W4403780676","https://openalex.org/W4403826636","https://openalex.org/W4408564095","https://openalex.org/W4409102430","https://openalex.org/W4410294560"],"related_works":[],"abstract_inverted_index":{"Robust":[0],"analysis":[1],"of":[2,53,77,114],"3D":[3,78,219],"point":[4,54,79,116],"cloud":[5,80],"data":[6,34],"is":[7],"essential":[8],"for":[9,163],"high-precision":[10],"applications":[11],"such":[12],"as":[13],"autonomous":[14],"driving":[15],"and":[16,27,37,126,144,155,183,207,214],"industrial":[17],"automation,":[18],"where":[19],"models":[20,206],"need":[21],"to":[22,43,73,97,111,119,167],"consistently":[23],"perform":[24],"under":[25],"complex":[26],"unpredictable":[28],"real-world":[29,208],"conditions.":[30],"Current":[31],"strategies,":[32],"including":[33],"augmentation":[35,166],"techniques":[36],"robust":[38],"network":[39],"designs,":[40],"often":[41],"struggle":[42],"effectively":[44],"capture":[45],"dynamic":[46],"disturbances":[47],"or":[48],"accommodate":[49],"the":[50,58,75,103,115,146,153],"spatial":[51,120],"variations":[52],"clouds,":[55],"thus":[56],"lacking":[57],"required":[59],"flexibility":[60],"across":[61],"diverse":[62,218],"environments.":[63],"To":[64],"overcome":[65],"these":[66,131],"limitations,":[67],"we":[68,133,159],"propose":[69],"a":[70,135,161],"novel":[71],"methodology":[72],"improve":[74],"robustness":[76],"processing":[81],"systems.":[82],"Our":[83],"approach":[84],"simulates":[85],"generalized":[86],"corrupted":[87],"input":[88],"samples":[89],"during":[90],"training,":[91],"using":[92],"Radial":[93],"Basis":[94],"Functions":[95],"(RBF)":[96],"model":[98,142,212],"smooth":[99],"deformations":[100,107],"based":[101,122],"on":[102,123,201],"control":[104],"points.":[105],"These":[106],"are":[108],"applied":[109],"selectively":[110],"different":[112],"regions":[113],"cloud,":[117],"adapting":[118],"heterogeneity":[121],"local":[124],"density":[125],"geometric":[127],"complexity.":[128],"While":[129],"generating":[130],"samples,":[132],"employ":[134],"combined":[136],"adversarial":[137],"loss":[138],"that":[139,195],"simultaneously":[140],"induces":[141],"errors":[143],"maximizes":[145],"difference":[147],"in":[148,216],"internal":[149],"feature":[150,165,188],"distributions":[151],"between":[152],"original":[154],"perturbed":[156],"data.":[157],"Additionally,":[158],"introduce":[160],"sub-network":[162,176],"distortion-guided":[164],"enhance":[168],"important":[169],"features":[170,182],"while":[171],"suppressing":[172],"unreliable":[173],"ones.":[174],"This":[175],"estimates":[177],"distortion":[178],"levels":[179],"by":[180],"compressing":[181],"identifying":[184],"discrepancies,":[185],"then":[186],"adjusts":[187],"extraction":[189],"process":[190],"accordingly.":[191],"Experimental":[192],"results":[193],"demonstrate":[194],"our":[196],"method":[197],"outperforms":[198],"existing":[199],"approaches":[200],"both":[202],"Computer-Aided":[203],"Design":[204],"(CAD)":[205],"LiDAR":[209],"datasets,":[210],"enhancing":[211],"resilience":[213],"accuracy":[215],"handling":[217],"scenarios.":[220]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-14T00:00:00"}
