{"id":"https://openalex.org/W4410296536","doi":"https://doi.org/10.1109/isbi60581.2025.10981178","title":"A Filter for Minimizing Gaussian Curvature on 3D Triangular Meshes","display_name":"A Filter for Minimizing Gaussian Curvature on 3D Triangular Meshes","publication_year":2025,"publication_date":"2025-04-14","ids":{"openalex":"https://openalex.org/W4410296536","doi":"https://doi.org/10.1109/isbi60581.2025.10981178"},"language":"en","primary_location":{"id":"doi:10.1109/isbi60581.2025.10981178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi60581.2025.10981178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)","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/A5100532074","display_name":"Yuanhao Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanhao Gong","raw_affiliation_strings":["CEIE, Shenzhen University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CEIE, Shenzhen University,China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024360252","display_name":"Tengfei Tang","orcid":"https://orcid.org/0000-0002-8698-9985"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tan Tang","raw_affiliation_strings":["CEIE, Shenzhen University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CEIE, Shenzhen University,China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100728275","display_name":"Zeyu Yang","orcid":"https://orcid.org/0000-0002-7232-5678"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zeyu Yang","raw_affiliation_strings":["ECE, Rice University,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ECE, Rice University,USA","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068559249","display_name":"Lantao Yu","orcid":"https://orcid.org/0000-0003-0569-952X"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lantao Yu","raw_affiliation_strings":["Adobe Inc.,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Inc.,USA","institution_ids":["https://openalex.org/I1306409833"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.1182,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.97607592,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"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/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.9817000031471252,"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/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.9817000031471252,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.970300018787384,"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"}},{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9686999917030334,"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/polygon-mesh","display_name":"Polygon mesh","score":0.8712687492370605},{"id":"https://openalex.org/keywords/curvature","display_name":"Curvature","score":0.6425373554229736},{"id":"https://openalex.org/keywords/gaussian-curvature","display_name":"Gaussian curvature","score":0.6265464425086975},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5985205173492432},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4603869915008545},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4525638222694397},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.22843238711357117},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.21966838836669922},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.21773847937583923},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21611648797988892},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.17648914456367493}],"concepts":[{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.8712687492370605},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.6425373554229736},{"id":"https://openalex.org/C16140857","wikidata":"https://www.wikidata.org/wiki/Q945953","display_name":"Gaussian curvature","level":3,"score":0.6265464425086975},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5985205173492432},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4603869915008545},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4525638222694397},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.22843238711357117},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.21966838836669922},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.21773847937583923},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21611648797988892},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17648914456367493},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi60581.2025.10981178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi60581.2025.10981178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4056531227","display_name":null,"funder_award_id":"12471502","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1971042117","https://openalex.org/W2005089986","https://openalex.org/W2042460596","https://openalex.org/W2067788981","https://openalex.org/W2079017595","https://openalex.org/W2099916521","https://openalex.org/W2101868198","https://openalex.org/W2114175003","https://openalex.org/W2116014169","https://openalex.org/W2125065112","https://openalex.org/W2138911744","https://openalex.org/W2580772840","https://openalex.org/W2810303719","https://openalex.org/W2898167198","https://openalex.org/W2918380492","https://openalex.org/W2950841483","https://openalex.org/W3035596171","https://openalex.org/W3121770816","https://openalex.org/W3168116943","https://openalex.org/W3195231142","https://openalex.org/W3211492595","https://openalex.org/W4308236208","https://openalex.org/W4402401650","https://openalex.org/W4402775771"],"related_works":["https://openalex.org/W3215570221","https://openalex.org/W4308065694","https://openalex.org/W4295655570","https://openalex.org/W4226297850","https://openalex.org/W2751157526","https://openalex.org/W2350536225","https://openalex.org/W73664651","https://openalex.org/W4321101434","https://openalex.org/W3171720365","https://openalex.org/W2093113703"],"abstract_inverted_index":{"Minimizing":[0],"the":[1,55,59,64,86,97,118,141],"Gaussian":[2,49,56,92,98,122,145],"Curvature":[3,50],"of":[4,58,66,80,140],"triangular":[5,60],"meshes":[6,61],"can":[7],"have":[8],"important":[9,127],"applications":[10],"in":[11,34,144],"3D":[12],"computer":[13],"vision":[14],"and":[15,32,43,148,152],"graphics.":[16],"However,":[17],"traditional":[18],"explicit":[19,160],"methods":[20,143],"require":[21],"solving":[22],"high-order":[23],"partial":[24],"differential":[25],"equations":[26],"which":[27,53,116],"makes":[28],"them":[29],"computationally":[30],"demanding":[31],"impractical":[33],"many":[35],"applications.":[36],"This":[37],"paper":[38],"presents":[39],"a":[40,71,112],"very":[41],"fast":[42],"efficient":[44],"adaptive":[45],"filtering":[46],"technique":[47],"termed":[48],"Filtering":[51],"(GCF)":[52],"optimizes":[54],"curvature":[57,93,123,146],"through":[62],"exploiting":[63],"properties":[65],"developable":[67],"surfaces.":[68],"By":[69],"moving":[70,114],"vertex":[72],"along":[73],"its":[74,81],"normal":[75],"direction":[76],"such":[77],"that":[78,136,153],"one":[79],"1-ring":[82],"neighbors":[83],"falls":[84],"onto":[85],"vertex's":[87,113],"tangent":[88,103],"plane,":[89],"GCF":[90,119,137],"minimizes":[91],"without":[94],"explicitly":[95],"computing":[96],"curvature.":[99],"A":[100],"novel":[101],"multi":[102],"plane":[104],"projection":[105],"strategy":[106],"is":[107],"developed":[108],"to":[109,120,134],"adaptively":[110],"determine":[111],"distance":[115],"enables":[117],"achieve":[121],"minimization":[124,147],"while":[125],"preserving":[126],"geometric":[128],"features.":[129],"We":[130],"present":[131],"extensive":[132],"experiments":[133],"demonstrate":[135],"outperforms":[138],"state":[139],"art":[142],"shape-preserving":[149],"model":[150],"smoothing,":[151],"it":[154],"is$7\\sim":[155],"50$times":[156],"faster":[157],"than":[158],"previous":[159],"optimization":[161],"methods.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}