{"id":"https://openalex.org/W2971024968","doi":"https://doi.org/10.1109/icip.2019.8803553","title":"Point Cloud Compression Incorporating Region of Interest Coding","display_name":"Point Cloud Compression Incorporating Region of Interest Coding","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2971024968","doi":"https://doi.org/10.1109/icip.2019.8803553","mag":"2971024968"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8803553","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803553","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"article","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/A5059844298","display_name":"Gustavo Sandri","orcid":"https://orcid.org/0000-0003-0752-8599"},"institutions":[{"id":"https://openalex.org/I150729083","display_name":"Universidade de Bras\u00edlia","ror":"https://ror.org/02xfp8v59","country_code":"BR","type":"education","lineage":["https://openalex.org/I150729083"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Gustavo Sandri","raw_affiliation_strings":["Universidade de Bras\u00edlia, Brasilia, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade de Bras\u00edlia, Brasilia, Brazil","institution_ids":["https://openalex.org/I150729083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057271937","display_name":"Victor F. Figueiredo","orcid":"https://orcid.org/0000-0003-3527-7002"},"institutions":[{"id":"https://openalex.org/I150729083","display_name":"Universidade de Bras\u00edlia","ror":"https://ror.org/02xfp8v59","country_code":"BR","type":"education","lineage":["https://openalex.org/I150729083"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Victor F. Figueiredo","raw_affiliation_strings":["Universidade de Bras\u00edlia, Brasilia, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade de Bras\u00edlia, Brasilia, Brazil","institution_ids":["https://openalex.org/I150729083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019574907","display_name":"Philip A. Chou","orcid":"https://orcid.org/0000-0002-7242-0210"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philip A. Chou","raw_affiliation_strings":["Google, Seattle, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google, Seattle, WA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044603981","display_name":"Ricardo L. de Queiroz","orcid":"https://orcid.org/0000-0002-3911-1838"},"institutions":[{"id":"https://openalex.org/I150729083","display_name":"Universidade de Bras\u00edlia","ror":"https://ror.org/02xfp8v59","country_code":"BR","type":"education","lineage":["https://openalex.org/I150729083"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ricardo de Queiroz","raw_affiliation_strings":["Universidade de Bras\u00edlia, Brasilia, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade de Bras\u00edlia, Brasilia, Brazil","institution_ids":["https://openalex.org/I150729083"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8135,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.77479648,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"4370","last_page":"4374"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9993000030517578,"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":0.9990000128746033,"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":0.9988999962806702,"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/region-of-interest","display_name":"Region of interest","score":0.7614687085151672},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6783754229545593},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6646542549133301},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6350319385528564},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5154153108596802},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5118886232376099},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5066908001899719},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4682137966156006},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4380815029144287},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43633773922920227},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.41043686866760254},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2665015757083893},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.22273412346839905},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10232579708099365}],"concepts":[{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.7614687085151672},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6783754229545593},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6646542549133301},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6350319385528564},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5154153108596802},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5118886232376099},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5066908001899719},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4682137966156006},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4380815029144287},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43633773922920227},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.41043686866760254},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2665015757083893},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.22273412346839905},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10232579708099365},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"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/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2019.8803553","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803553","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1498318113","https://openalex.org/W1907886551","https://openalex.org/W1978479866","https://openalex.org/W1986678681","https://openalex.org/W2141353431","https://openalex.org/W2158571835","https://openalex.org/W2164598857","https://openalex.org/W2415653907","https://openalex.org/W2515779438","https://openalex.org/W2516853023","https://openalex.org/W2523267536","https://openalex.org/W2609263042","https://openalex.org/W2803455602","https://openalex.org/W2893000317","https://openalex.org/W2905544027","https://openalex.org/W3100220783","https://openalex.org/W4254197176","https://openalex.org/W6680665091","https://openalex.org/W6727053319"],"related_works":["https://openalex.org/W4255837520","https://openalex.org/W2387011115","https://openalex.org/W4234808182","https://openalex.org/W2382043075","https://openalex.org/W2809151339","https://openalex.org/W2360673138","https://openalex.org/W2809370583","https://openalex.org/W2333722679","https://openalex.org/W4255628145","https://openalex.org/W2093320919"],"abstract_inverted_index":{"We":[0,41],"introduce":[1],"Region-of-Interest":[2],"(ROI)":[3],"coding":[4],"for":[5],"point":[6],"cloud":[7],"attributes,":[8],"using":[9,86],"an":[10],"input-weighted":[11],"distortion":[12,64],"measure":[13],"where":[14],"the":[15,20,28,51,54,60,63,71,75,87,113],"weights":[16,52,61],"are":[17],"determined":[18],"by":[19],"ROI.":[21],"In":[22],"terms":[23],"of":[24,39,46,53,62,74,83],"coding,":[25],"we":[26],"use":[27,42],"Region":[29],"Adaptive":[30],"Hierarchical":[31],"Transform":[32],"(RAHT),":[33],"which":[34,77],"relies":[35],"on":[36],"a":[37,43,81,101],"set":[38,58,82],"weights.":[40],"measure-theoretic":[44],"interpretation":[45],"RAHT":[47],"to":[48,59],"determine":[49],"that":[50],"transform":[55],"should":[56],"be":[57],"measure.":[65],"The":[66],"ROI":[67,103],"is":[68,78],"chosen":[69],"as":[70],"3D":[72],"region":[73],"face,":[76],"detected":[79],"from":[80],"2D":[84],"projections":[85],"well-known":[88],"Viola-Jones":[89],"algorithm.":[90],"Experimental":[91],"results":[92],"show":[93],"subjectively":[94,105],"meaningful":[95],"improvements":[96],"(7-8":[97],"dB":[98,110],"PSNR)":[99,111],"in":[100,112],"face":[102],"with":[104],"insignificant":[106],"degradations":[107],"(under":[108],"1":[109],"non-ROI.":[114]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
