{"id":"https://openalex.org/W4384947564","doi":"https://doi.org/10.1109/iscas46773.2023.10182102","title":"Rotation-Invariant Point Cloud Segmentation With Kernel Principal Component Analysis and Geometry-Based Weighted Convolution","display_name":"Rotation-Invariant Point Cloud Segmentation With Kernel Principal Component Analysis and Geometry-Based Weighted Convolution","publication_year":2023,"publication_date":"2023-05-21","ids":{"openalex":"https://openalex.org/W4384947564","doi":"https://doi.org/10.1109/iscas46773.2023.10182102"},"language":"en","primary_location":{"id":"doi:10.1109/iscas46773.2023.10182102","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas46773.2023.10182102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102898293","display_name":"Yuqi Li","orcid":"https://orcid.org/0009-0007-0582-0621"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqi Li","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University,Shanghai,China,200240"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University,Shanghai,China,200240","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101683429","display_name":"Qin Yang","orcid":"https://orcid.org/0009-0002-7340-8667"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Yang","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University,Shanghai,China,200240"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University,Shanghai,China,200240","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045342512","display_name":"Wenrui Dai","orcid":"https://orcid.org/0000-0003-2522-5778"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenrui Dai","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University,Shanghai,China,200240"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University,Shanghai,China,200240","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100675587","display_name":"Chenglin Li","orcid":"https://orcid.org/0000-0003-2888-594X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenglin Li","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University,Shanghai,China,200240"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University,Shanghai,China,200240","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016006337","display_name":"Junni Zou","orcid":"https://orcid.org/0000-0002-9694-9880"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junni Zou","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University,Shanghai,China,200240"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University,Shanghai,China,200240","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002494284","display_name":"Hongkai Xiong","orcid":"https://orcid.org/0000-0003-4552-0029"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongkai Xiong","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University,Shanghai,China,200240"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University,Shanghai,China,200240","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998000264167786,"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":0.9998000264167786,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9984999895095825,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.8139647245407104},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6989904046058655},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5541172623634338},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5472486019134521},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.535051703453064},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5037309527397156},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.452718585729599},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.451748788356781},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44338199496269226},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43514540791511536},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4273715019226074},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4214995205402374},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.4208827018737793},{"id":"https://openalex.org/keywords/medial-axis","display_name":"Medial axis","score":0.41554513573646545},{"id":"https://openalex.org/keywords/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.41417092084884644},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.3807472586631775},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37638044357299805},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.26313334703445435},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.14936456084251404},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.0981743335723877},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09576451778411865}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8139647245407104},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6989904046058655},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5541172623634338},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5472486019134521},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.535051703453064},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5037309527397156},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.452718585729599},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.451748788356781},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44338199496269226},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43514540791511536},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4273715019226074},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4214995205402374},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.4208827018737793},{"id":"https://openalex.org/C185877587","wikidata":"https://www.wikidata.org/wiki/Q1757407","display_name":"Medial axis","level":2,"score":0.41554513573646545},{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.41417092084884644},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3807472586631775},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37638044357299805},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.26313334703445435},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.14936456084251404},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0981743335723877},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09576451778411865},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas46773.2023.10182102","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas46773.2023.10182102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G2267051802","display_name":null,"funder_award_id":"61932022,61931023,61971285,61831018,61871267,61972256","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2100816864","https://openalex.org/W2140095548","https://openalex.org/W2560609797","https://openalex.org/W2774291319","https://openalex.org/W2796422723","https://openalex.org/W2898360221","https://openalex.org/W2963121255","https://openalex.org/W2979750740","https://openalex.org/W2981199548","https://openalex.org/W2982319484","https://openalex.org/W3012143260","https://openalex.org/W3092449207","https://openalex.org/W3107886455","https://openalex.org/W3126732353","https://openalex.org/W3201680641","https://openalex.org/W3203310607","https://openalex.org/W4220908436","https://openalex.org/W4312985712","https://openalex.org/W4394671432","https://openalex.org/W6687484953","https://openalex.org/W6739778489","https://openalex.org/W6755808539","https://openalex.org/W6763422710","https://openalex.org/W6769516661","https://openalex.org/W6775595832","https://openalex.org/W6784063889"],"related_works":["https://openalex.org/W2051997380","https://openalex.org/W2541311741","https://openalex.org/W2269935213","https://openalex.org/W2057456086","https://openalex.org/W2568929922","https://openalex.org/W2065654035","https://openalex.org/W2013888270","https://openalex.org/W2789003078","https://openalex.org/W3111703067","https://openalex.org/W2769800838"],"abstract_inverted_index":{"Learning":[0],"a":[1,76,94,103,118],"rotation-invariant":[2,78],"(RI)":[3],"representation":[4,38,120],"is":[5,15],"of":[6,42],"significant":[7],"importance":[8],"for":[9,67,80,89,124,148],"real-world":[10],"point":[11,32,81,91,131],"cloud":[12,82],"segmentation":[13,150,177,197],"that":[14,159],"perturbed":[16],"by":[17],"arbitrary":[18],"rotations.":[19],"Recent":[20],"principal":[21],"component":[22],"analysis":[23],"(PCA)-based":[24],"methods":[25,174],"provide":[26],"an":[27],"effective":[28],"alternative":[29],"to":[30,108],"align":[31,64],"clouds":[33,92],"and":[34,59,61,101,141,170,193,195],"produce":[35],"the":[36,40,115,134,153,160,168,199],"RI":[37,69,119,154],"under":[39],"preservation":[41],"global":[43],"information.":[44],"However,":[45],"conventional":[46],"PCA":[47,87],"with":[48,121,145,167],"3-D":[49,188],"coordinates":[50],"cannot":[51,62],"fully":[52],"represent":[53],"high-dimensional":[54,96],"geometric":[55,128,137],"structures":[56,66,129,138],"like":[57],"surfaces":[58],"curves":[60],"uniformly":[63],"these":[65],"learning":[68],"representation.":[70,155],"In":[71],"this":[72],"paper,":[73],"we":[74],"propose":[75],"novel":[77],"method":[79,162],"segmentation,":[83],"which":[84],"leverages":[85],"kernel":[86],"(KPCA)":[88],"aligning":[90],"in":[93,130,175],"projected":[95],"space":[97],"via":[98],"non-linear":[99],"mapping":[100],"develops":[102],"Geometry-based":[104],"Weighted":[105],"Convolution":[106],"(GWConv)":[107],"distinguish":[109],"part":[110,176,200],"boundaries":[111],"during":[112],"segmentation.":[113],"Specifically,":[114],"KPCA":[116],"produces":[117],"polynomial":[122],"kernels":[123],"effectively":[125],"representing":[126],"complicated":[127,187],"clouds.":[132],"Moreover,":[133],"GWConv":[135],"incorporates":[136],"into":[139],"convolution":[140],"enhances":[142],"neighboring":[143],"points":[144],"similar":[146],"geometry":[147],"fine-grained":[149],"based":[151],"on":[152,178,186],"Experimental":[156],"results":[157],"demonstrate":[158],"proposed":[161],"can":[163],"achieve":[164],"competitive":[165],"performance":[166,184],"state-of-the-arts":[169],"outperforms":[171],"existing":[172],"PCA-based":[173],"ShapeNet.":[179],"Furthermore,":[180],"it":[181],"achieves":[182],"evident":[183],"gains":[185],"shapes":[189],"such":[190],"as":[191],"Earphone":[192],"Car":[194],"facilitates":[196],"around":[198],"boundaries.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}