{"id":"https://openalex.org/W2060528729","doi":"https://doi.org/10.1145/1282280.1282350","title":"3D model representation using adaptive volumetric extended Gaussian image","display_name":"3D model representation using adaptive volumetric extended Gaussian image","publication_year":2007,"publication_date":"2007-07-09","ids":{"openalex":"https://openalex.org/W2060528729","doi":"https://doi.org/10.1145/1282280.1282350","mag":"2060528729"},"language":"en","primary_location":{"id":"doi:10.1145/1282280.1282350","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1282280.1282350","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th ACM international conference on Image and video retrieval","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/A5078844872","display_name":"Jiqi Zhang","orcid":"https://orcid.org/0000-0002-8494-6797"},"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":"Jiqi Zhang","raw_affiliation_strings":["City University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038423570","display_name":"Dingwen Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dingwen Wang","raw_affiliation_strings":["Wuhan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014196059","display_name":"Hau\u2212San Wong","orcid":"https://orcid.org/0000-0002-1530-7529"},"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":"Hau-San Wong","raw_affiliation_strings":["City University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"480","last_page":"485"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9987000226974487,"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":0.9987000226974487,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9976999759674072,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9973999857902527,"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/representation","display_name":"Representation (politics)","score":0.5303745269775391},{"id":"https://openalex.org/keywords/spherical-harmonics","display_name":"Spherical harmonics","score":0.4901603162288666},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4878406822681427},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.4762944281101227},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4637399911880493},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.45983120799064636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45345067977905273},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.4345186948776245},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4308057725429535},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39248713850975037},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3686080873012543},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32991504669189453},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.22265160083770752}],"concepts":[{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5303745269775391},{"id":"https://openalex.org/C3768446","wikidata":"https://www.wikidata.org/wiki/Q877100","display_name":"Spherical harmonics","level":2,"score":0.4901603162288666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4878406822681427},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.4762944281101227},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4637399911880493},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.45983120799064636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45345067977905273},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.4345186948776245},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4308057725429535},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39248713850975037},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3686080873012543},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32991504669189453},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.22265160083770752},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1282280.1282350","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1282280.1282350","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th ACM international conference on Image and video retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W389326768","https://openalex.org/W1536331463","https://openalex.org/W1539035979","https://openalex.org/W1580071822","https://openalex.org/W1946110011","https://openalex.org/W1972839404","https://openalex.org/W2001141328","https://openalex.org/W2053186076","https://openalex.org/W2097308346","https://openalex.org/W2099789128","https://openalex.org/W2113530345","https://openalex.org/W2128633210","https://openalex.org/W2146610201","https://openalex.org/W2148694408","https://openalex.org/W2172124895"],"related_works":["https://openalex.org/W2401401198","https://openalex.org/W2393116105","https://openalex.org/W3208409104","https://openalex.org/W2331674254","https://openalex.org/W2134686930","https://openalex.org/W2091726492","https://openalex.org/W2621257385","https://openalex.org/W2979079341","https://openalex.org/W3142505183","https://openalex.org/W3135923011"],"abstract_inverted_index":{"One":[0],"of":[1,39],"the":[2,21,37,52,66,71,81,87,92,117,139,164],"most":[3],"challenging":[4],"issues":[5],"in":[6,80],"object":[7],"based":[8,33,63],"3D":[9,148],"model":[10,23,149],"retrieval":[11,150,161],"research":[12],"is":[13,44],"how":[14],"to":[15,105],"extract":[16],"efficient":[17],"feature":[18],"vector":[19],"from":[20],"original":[22],"with":[24],"translation,":[25],"scaling":[26],"and":[27,73,144],"rotation":[28,40],"independence.":[29,41],"Spherical":[30],"harmonic":[31,50,61],"transform":[32,62],"methods":[34,64],"can":[35],"maintain":[36],"property":[38],"But":[42],"there":[43],"a":[45,111,145],"pre-requisite":[46],"for":[47],"performing":[48],"spherical":[49,60,67],"transform:":[51],"surface":[53,68],"sphere":[54],"should":[55],"be":[56],"uniformly":[57,76],"sampled.":[58],"However,":[59],"divide":[65],"by":[69,126],"sampling":[70],"latitude":[72],"longitude":[74],"direction":[75],"which":[77],"causes":[78],"singularities":[79],"two":[82],"poles.":[83],"In":[84,97],"other":[85],"words,":[86],"poles":[88],"are":[89,95],"over-sampled":[90],"while":[91],"equator":[93],"parts":[94],"under-sampled.":[96],"this":[98,107,133],"paper,":[99],"we":[100,152],"introduce":[101],"an":[102],"improvement":[103],"approach":[104,162],"fix":[106],"problem":[108],"through":[109],"incorporating":[110],"variant":[112],"principal":[113],"component":[114],"analysis":[115],"into":[116],"Volumetric":[118],"Extended":[119],"Gaussian":[120],"Image":[121],"(VEGI)":[122],"shape":[123,136],"representation":[124,137],"proposed":[125,160],"J.":[127],"Zhang":[128],"et":[129],"al.":[130],"We":[131],"evaluate":[132],"adaptive":[134],"VEGI":[135,165],"on":[138],"Princeton":[140],"Shape":[141],"Benchmark":[142],"database":[143],"public":[146],"online":[147],"system":[151],"developed.":[153],"The":[154],"experimental":[155],"results":[156],"show":[157],"that":[158],"our":[159],"enhance":[163],"method.":[166]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}