{"id":"https://openalex.org/W3110425901","doi":"https://doi.org/10.2312/pg.20201226","title":"A Robust Feature-aware Sparse Mesh Representation","display_name":"A Robust Feature-aware Sparse Mesh Representation","publication_year":2018,"publication_date":"2018-10-18","ids":{"openalex":"https://openalex.org/W3110425901","doi":"https://doi.org/10.2312/pg.20201226","mag":"3110425901"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:1810.08266","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1810.08266","pdf_url":"https://arxiv.org/pdf/1810.08266","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1810.08266","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054168465","display_name":"Lizeth Joseline Fuentes Perez","orcid":"https://orcid.org/0000-0003-1096-2871"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Perez, Lizeth J. Fuentes","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022613503","display_name":"Luciano Arnaldo Romero Calla","orcid":"https://orcid.org/0000-0002-6186-4027"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Calla, Luciano A. Romero","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047517909","display_name":"Anselmo Montenegro","orcid":"https://orcid.org/0000-0001-9342-8732"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Montenegro, Anselmo A.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091140583","display_name":"Claudio Mura","orcid":"https://orcid.org/0000-0002-6017-557X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mura, Claudio","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5000147776","display_name":"Renato Pajarola","orcid":"https://orcid.org/0000-0002-6724-526X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pajarola, Renato","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5054168465"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30240038,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994999766349792,"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/T10996","display_name":"Computational Geometry and Mesh Generation","score":0.9987000226974487,"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/polygon-mesh","display_name":"Polygon mesh","score":0.6747251749038696},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.6600013971328735},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6564380526542664},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.6553329825401306},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6240458488464355},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6188139319419861},{"id":"https://openalex.org/keywords/euclidean-geometry","display_name":"Euclidean geometry","score":0.5819359421730042},{"id":"https://openalex.org/keywords/geometry-processing","display_name":"Geometry processing","score":0.5477511286735535},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47096019983291626},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45838943123817444},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.448264479637146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3768589496612549},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35543879866600037},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3258858323097229},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3209646940231323},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1490737497806549},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.13444238901138306},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.08390724658966064}],"concepts":[{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.6747251749038696},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.6600013971328735},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6564380526542664},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.6553329825401306},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6240458488464355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6188139319419861},{"id":"https://openalex.org/C129782007","wikidata":"https://www.wikidata.org/wiki/Q162886","display_name":"Euclidean geometry","level":2,"score":0.5819359421730042},{"id":"https://openalex.org/C2779521785","wikidata":"https://www.wikidata.org/wiki/Q5535529","display_name":"Geometry processing","level":3,"score":0.5477511286735535},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47096019983291626},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45838943123817444},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.448264479637146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3768589496612549},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35543879866600037},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3258858323097229},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3209646940231323},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1490737497806549},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.13444238901138306},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.08390724658966064},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"pmh:oai:arXiv.org:1810.08266","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1810.08266","pdf_url":"https://arxiv.org/pdf/1810.08266","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3110425901","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1810.08266","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1810.08266","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1810.08266","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"},{"id":"doi:10.2312/pg.20201226","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pg.20201226","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1810.08266","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1810.08266","pdf_url":"https://arxiv.org/pdf/1810.08266","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W940328677","https://openalex.org/W1243909374","https://openalex.org/W1549658690","https://openalex.org/W2041771459","https://openalex.org/W2103671504","https://openalex.org/W2134792605","https://openalex.org/W2140856955","https://openalex.org/W2157068344","https://openalex.org/W2160547390","https://openalex.org/W2162450071","https://openalex.org/W2164191390","https://openalex.org/W2377850116","https://openalex.org/W2402026452","https://openalex.org/W2560293005","https://openalex.org/W2582151442","https://openalex.org/W2805729703"],"related_works":["https://openalex.org/W3116490200","https://openalex.org/W2950986637","https://openalex.org/W2901401142","https://openalex.org/W2222343986","https://openalex.org/W1536187505","https://openalex.org/W2920448542","https://openalex.org/W1491823859","https://openalex.org/W373762647","https://openalex.org/W2340133454","https://openalex.org/W1671066213","https://openalex.org/W2982566499","https://openalex.org/W3176697619","https://openalex.org/W2967825586","https://openalex.org/W1998372843","https://openalex.org/W3104967810","https://openalex.org/W777402500","https://openalex.org/W2044544552","https://openalex.org/W2883434814","https://openalex.org/W3179709349","https://openalex.org/W3108740698"],"abstract_inverted_index":{"The":[0,65,131],"sparse":[1,20,66],"representation":[2,52,69,124],"of":[3,19,43,56,99,119],"signals":[4],"defined":[5],"on":[6],"Euclidean":[7],"domains":[8,24],"has":[9],"been":[10],"successfully":[11],"applied":[12],"in":[13],"signal":[14],"processing.":[15],"Bringing":[16],"the":[17,41,117,141,153],"power":[18,118],"representations":[21],"to":[22,81,92,139,147],"non-regular":[23],"is":[25,54,70,155],"still":[26],"a":[27,50,89,97,102,120,126],"challenge,":[28],"but":[29],"promising":[30,157],"approaches":[31,75],"have":[32],"started":[33],"emerging":[34],"recently.":[35],"In":[36],"this":[37],"paper,":[38],"we":[39,87,107],"investigate":[40],"problem":[42],"sparsely":[44],"representing":[45],"discrete":[46,67,94,132],"surfaces":[47],"and":[48,163],"propose":[49],"new":[51,90],"that":[53,152],"capable":[55],"providing":[57],"tools":[58],"for":[59,158],"solving":[60],"different":[61],"geometry":[62],"processing":[63],"problems.":[64],"surface":[68,110,133,161],"obtained":[71],"by":[72,115],"combining":[73,116],"innovative":[74],"into":[76,96],"an":[77],"integrated":[78],"method.":[79],"First,":[80],"deal":[82],"with":[83,112,125],"irregular":[84],"mesh":[85,164],"domains,":[86],"devised":[88],"way":[91],"subdivide":[93],"meshes":[95],"set":[98],"patches":[100],"using":[101],"feature-aware":[103],"seed":[104],"sampling.":[105],"Second,":[106],"achieve":[108],"good":[109],"approximation":[111,134],"over-fitting":[113],"control":[114],"continuous":[121],"global":[122],"dictionary":[123],"modified":[127],"Orthogonal":[128],"Marching":[129],"Pursuit.":[130],"results":[135,150],"produced":[136],"were":[137],"able":[138],"preserve":[140],"shape":[142],"features":[143],"while":[144],"being":[145],"robust":[146],"over-fitting.":[148],"Our":[149],"show":[151],"method":[154],"quite":[156],"applications":[159],"like":[160],"re-sampling":[162],"compression.":[165]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
