{"id":"https://openalex.org/W2511999746","doi":"https://doi.org/10.1109/tmm.2016.2605927","title":"Compressed Sensing for Efficient Encoding of Dense 3D Meshes Using Model-Based Bayesian Learning","display_name":"Compressed Sensing for Efficient Encoding of Dense 3D Meshes Using Model-Based Bayesian Learning","publication_year":2016,"publication_date":"2016-09-02","ids":{"openalex":"https://openalex.org/W2511999746","doi":"https://doi.org/10.1109/tmm.2016.2605927","mag":"2511999746"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2016.2605927","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2016.2605927","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/3456221","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086877328","display_name":"Aris S. Lalos","orcid":"https://orcid.org/0000-0003-0511-9302"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Aris S. Lalos","raw_affiliation_strings":["Electrical and Computer Engineering Department, University of Patras, Patras, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, University of Patras, Patras, Greece","institution_ids":["https://openalex.org/I174878644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043435714","display_name":"Iason Nikolas","orcid":null},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Iason Nikolas","raw_affiliation_strings":["Electrical and Computer Engineering Department, University of Patras, Patras, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, University of Patras, Patras, Greece","institution_ids":["https://openalex.org/I174878644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025409993","display_name":"Evangelos Vlachos","orcid":"https://orcid.org/0000-0003-1501-0722"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Evangelos Vlachos","raw_affiliation_strings":["Computer Engineering and Informatics Department, University of Patras, Patras, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Engineering and Informatics Department, University of Patras, Patras, Greece","institution_ids":["https://openalex.org/I174878644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109963015","display_name":"\u039a\u03c9\u03bd\u03c3\u03c4\u03b1\u03bd\u03c4\u03af\u03bd\u03bf\u03c2 \u039c\u03bf\u03c5\u03c3\u03c4\u03ac\u03ba\u03b1\u03c2","orcid":"https://orcid.org/0000-0001-7617-227X"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Konstantinos Moustakas","raw_affiliation_strings":["Electrical and Computer Engineering Department, University of Patras, Patras, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, University of Patras, Patras, Greece","institution_ids":["https://openalex.org/I174878644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I174878644"],"apc_list":null,"apc_paid":null,"fwci":10.2031,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.97650171,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"19","issue":"1","first_page":"41","last_page":"53"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9997000098228455,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9991000294685364,"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/computer-science","display_name":"Computer science","score":0.7921757698059082},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.6951363682746887},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5789527297019958},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.518826425075531},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5018773078918457},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4764276444911957},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.46548333764076233},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35651296377182007}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7921757698059082},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.6951363682746887},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5789527297019958},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.518826425075531},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5018773078918457},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4764276444911957},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.46548333764076233},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35651296377182007},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tmm.2016.2605927","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2016.2605927","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"},{"id":"pmh:oai:zenodo.org:3456221","is_oa":true,"landing_page_url":"https://zenodo.org/record/3456221","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:3456221","is_oa":true,"landing_page_url":"https://zenodo.org/record/3456221","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1590549688","https://openalex.org/W1968686574","https://openalex.org/W1989480677","https://openalex.org/W1999314592","https://openalex.org/W2004036463","https://openalex.org/W2006714486","https://openalex.org/W2012423440","https://openalex.org/W2012785989","https://openalex.org/W2015165031","https://openalex.org/W2022831918","https://openalex.org/W2023661891","https://openalex.org/W2029308066","https://openalex.org/W2030987534","https://openalex.org/W2039243083","https://openalex.org/W2041586413","https://openalex.org/W2070232376","https://openalex.org/W2091797932","https://openalex.org/W2100478269","https://openalex.org/W2129638195","https://openalex.org/W2132696179","https://openalex.org/W2142636632","https://openalex.org/W2150593711","https://openalex.org/W2151329844","https://openalex.org/W2156427286","https://openalex.org/W2163398148","https://openalex.org/W2211252052","https://openalex.org/W2238788188","https://openalex.org/W2267893120","https://openalex.org/W2293644818","https://openalex.org/W2534039953","https://openalex.org/W3009889461","https://openalex.org/W4250955649","https://openalex.org/W4252351258","https://openalex.org/W6674817756","https://openalex.org/W6693397905","https://openalex.org/W6888447284"],"related_works":["https://openalex.org/W2095407248","https://openalex.org/W1997714924","https://openalex.org/W2129190845","https://openalex.org/W4389045637","https://openalex.org/W1994209155","https://openalex.org/W1971210268","https://openalex.org/W4384300015","https://openalex.org/W2054979592","https://openalex.org/W2100712766","https://openalex.org/W4383723869"],"abstract_inverted_index":{"With":[0],"the":[1,52,74,79,83,87,106,120,127,130,154,173,177,182,185,195,199,217,223,232],"growing":[2],"demand":[3],"for":[4,19,54,142],"easy":[5],"and":[6,22,37,64,85],"reliable":[7],"generation":[8],"of":[9,24,34,61,82,119,129,161,184,198,211],"3D":[10,25,31,213],"models":[11,153],"representing":[12],"real-world":[13],"or":[14],"synthetic":[15],"objects,":[16],"new":[17],"schemes":[18,97],"acquisition,":[20],"storage,":[21],"transmission":[23],"meshes":[26,32,131],"are":[27,43],"required.":[28],"In":[29,90],"principle,":[30],"consist":[33],"vertex":[35,38],"positions":[36],"connectivity.":[39],"Vertex":[40],"position":[41],"encoders":[42],"much":[44],"more":[45,124],"resource":[46],"demanding":[47],"than":[48],"connectivity":[49],"encoders,":[50],"stressing":[51],"need":[53],"novel":[55,95,148],"geometry":[56,66],"compression":[57,67,75,101,228],"schemes.":[58],"The":[59,109,117],"design":[60],"an":[62],"accurate":[63],"efficient":[65],"system":[68],"can":[69],"be":[70],"achieved":[71],"by":[72,113],"increasing":[73],"ratio":[76],"without":[77,103],"affecting":[78],"visual":[80,107],"quality":[81],"object":[84],"minimizing":[86],"computational":[88],"complexity.":[89,238],"this":[91],"paper,":[92],"we":[93,170,193],"present":[94],"compression/reconstruction":[96],"that":[98,152,216],"enable":[99],"aggressive":[100],"ratios,":[102,229],"significantly":[104,235],"reducing":[105],"quality.":[108,144],"encoding":[110,237],"is":[111],"performed":[112],"simply":[114],"executing":[115],"additions/subtractions.":[116],"benefits":[118],"proposed":[121,186,218],"method":[122],"become":[123],"apparent":[125],"as":[126,164,220],"density":[128],"increases,":[132],"while":[133],"it":[134],"provides":[135],"a":[136,147,165,208],"flexible":[137],"framework":[138],"to":[139,222],"trade":[140],"efficiency":[141],"reconstruction":[143],"We":[145],"derive":[146],"Bayesian":[149],"learning":[150],"algorithm":[151],"most":[155],"significant":[156],"graph":[157],"Fourier":[158],"transform":[159],"coefficients":[160],"each":[162],"submesh,":[163],"multivariate":[166],"Gaussian":[167],"distribution.":[168],"Then":[169],"evaluate":[171],"iteratively":[172],"distribution":[174],"parameters":[175],"using":[176,207],"expectation-maximization":[178],"approach.":[179],"To":[180],"improve":[181],"performance":[183],"approach":[187],"in":[188],"highly":[189],"under":[190],"determined":[191],"problems,":[192],"exploit":[194],"local":[196],"smoothness":[197],"partitioned":[200],"surfaces.":[201],"Extensive":[202],"evaluation":[203],"studies,":[204],"carried":[205],"out":[206],"large":[209],"collection":[210],"different":[212],"models,":[214],"show":[215],"schemes,":[219],"compared":[221],"state-of-the-art":[224],"approaches,":[225],"achieve":[226],"competitive":[227],"offering":[230],"at":[231],"same":[233],"time":[234],"lower":[236]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}