{"id":"https://openalex.org/W2158589153","doi":"https://doi.org/10.1109/iccvw.2009.5457500","title":"A compact representation for scanned 3D objects","display_name":"A compact representation for scanned 3D objects","publication_year":2009,"publication_date":"2009-09-01","ids":{"openalex":"https://openalex.org/W2158589153","doi":"https://doi.org/10.1109/iccvw.2009.5457500","mag":"2158589153"},"language":"en","primary_location":{"id":"doi:10.1109/iccvw.2009.5457500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2009.5457500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops","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/A5100382568","display_name":"Bing Wang","orcid":"https://orcid.org/0000-0003-4945-7725"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bing Wang","raw_affiliation_strings":["Department of Computer Science, Yale University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Yale University, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064638062","display_name":"Holly Rushmeier","orcid":"https://orcid.org/0000-0001-5241-0886"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Holly Rushmeier","raw_affiliation_strings":["Department of Computer Science, Yale University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Yale University, USA","institution_ids":["https://openalex.org/I32971472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I32971472"],"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":"26","issue":null,"first_page":"1793","last_page":"1800"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9998999834060669,"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":0.9997000098228455,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9987000226974487,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.6590571999549866},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.6579688787460327},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6467371582984924},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6197780966758728},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5568512082099915},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.5528141260147095},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5277916789054871},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5070016384124756},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5033835768699646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4946608245372772},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.49276307225227356},{"id":"https://openalex.org/keywords/curvature","display_name":"Curvature","score":0.4659731388092041},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.4299584925174713},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23899465799331665},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.14809149503707886}],"concepts":[{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.6590571999549866},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.6579688787460327},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6467371582984924},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6197780966758728},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5568512082099915},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.5528141260147095},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5277916789054871},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5070016384124756},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5033835768699646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4946608245372772},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.49276307225227356},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.4659731388092041},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.4299584925174713},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23899465799331665},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.14809149503707886},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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":3,"locations":[{"id":"doi:10.1109/iccvw.2009.5457500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2009.5457500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.490.5008","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.490.5008","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://graphics.cs.yale.edu/bing/pub/3DIM09.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.682.5006","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.682.5006","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://graphics.cs.yale.edu/site/sites/files/compact.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1626653188","https://openalex.org/W1966832848","https://openalex.org/W1982093560","https://openalex.org/W2014855903","https://openalex.org/W2016265593","https://openalex.org/W2046818008","https://openalex.org/W2047588761","https://openalex.org/W2052370895","https://openalex.org/W2067160009","https://openalex.org/W2069005412","https://openalex.org/W2077678691","https://openalex.org/W2096122432","https://openalex.org/W2101419919","https://openalex.org/W2108082645","https://openalex.org/W2114709034","https://openalex.org/W2125313965","https://openalex.org/W2129981905","https://openalex.org/W2137891718","https://openalex.org/W2138203286","https://openalex.org/W2149521538","https://openalex.org/W2178948257","https://openalex.org/W2235901111","https://openalex.org/W2250107905","https://openalex.org/W2293404936","https://openalex.org/W2294357037","https://openalex.org/W2294775238","https://openalex.org/W2941610626","https://openalex.org/W4205666164","https://openalex.org/W4251110321","https://openalex.org/W6636538218","https://openalex.org/W6645641037","https://openalex.org/W6674466327"],"related_works":["https://openalex.org/W1557607869","https://openalex.org/W2366350639","https://openalex.org/W2087496541","https://openalex.org/W2028455732","https://openalex.org/W4313703117","https://openalex.org/W2085564391","https://openalex.org/W1984758362","https://openalex.org/W2042049060","https://openalex.org/W2992936613","https://openalex.org/W2108615321"],"abstract_inverted_index":{"We":[0,53,129],"consider":[1],"the":[2,43,97,107,140,144],"representation":[3,56,70],"of":[4,18,34,45,72,89,104,113,120,132,135],"densely":[5],"sampled":[6],"scanned":[7,137],"3D":[8],"objects.":[9],"Scanning":[10],"physical":[11],"objects":[12,46,138,141],"can":[13],"be":[14],"an":[15],"efficient":[16],"way":[17],"obtaining":[19],"natural":[20],"looking":[21],"input":[22],"for":[23],"computer":[24,40],"graphics":[25],"image":[26],"generation.":[27],"Scanned":[28],"meshes":[29],"however":[30],"require":[31],"large":[32,101],"amounts":[33],"storage.":[35],"For":[36],"applications":[37],"such":[38],"as":[39],"graphics,":[41],"preserving":[42],"look":[44],"rather":[47],"than":[48],"precise":[49],"measurements":[50],"is":[51,109,122],"critical.":[52],"seek":[54],"a":[55,73,85,93,133],"that":[57],"preserves":[58],"characteristic":[59,78],"features":[60],"at":[61],"both":[62],"low":[63],"and":[64,77,139],"high":[65],"spatial":[66],"frequencies.":[67],"Our":[68],"proposed":[69],"consists":[71],"simplified":[74],"base":[75],"mesh":[76],"detailed":[79,82],"patches.":[80],"The":[81],"patches":[83,105,114,121],"contain":[84],"spatially":[86],"dense":[87],"sampling":[88],"mean":[90],"curvature":[91],"on":[92,96],"small":[94],"region":[95],"object":[98,108],"surface.":[99],"A":[100],"initial":[102],"set":[103],"covering":[106],"segmented":[110],"into":[111],"sets":[112],"using":[115],"k-means":[116],"clustering.":[117],"Each":[118],"cluster":[119],"then":[123],"compactly":[124],"represented":[125],"with":[126],"Gaussian":[127],"distributions.":[128],"present":[130],"comparisons":[131],"series":[134],"original":[136],"reconstructed":[142],"from":[143],"compact":[145],"representation.":[146]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
