{"id":"https://openalex.org/W1970844948","doi":"https://doi.org/10.1109/tmm.2013.2286580","title":"Point Cloud Encoding for 3D Building Model Retrieval","display_name":"Point Cloud Encoding for 3D Building Model Retrieval","publication_year":2013,"publication_date":"2013-10-21","ids":{"openalex":"https://openalex.org/W1970844948","doi":"https://doi.org/10.1109/tmm.2013.2286580","mag":"1970844948"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2013.2286580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2013.2286580","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085366213","display_name":"Jyun-Yuan Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Jyun-Yuan Chen","raw_affiliation_strings":["Department of Geomatics, National Cheng Kung University, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Geomatics, National Cheng Kung University, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056190602","display_name":"Chao\u2010Hung Lin","orcid":"https://orcid.org/0000-0001-8126-8794"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chao-Hung Lin","raw_affiliation_strings":["Department of Geomatics, National Cheng Kung University, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Geomatics, National Cheng Kung University, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091465235","display_name":"Po-Chi Hsu","orcid":null},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Po-Chi Hsu","raw_affiliation_strings":["Department of Geomatics, National Cheng Kung University, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Geomatics, National Cheng Kung University, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015097870","display_name":"Chung\u2010Hao Chen","orcid":"https://orcid.org/0000-0002-4860-9187"},"institutions":[{"id":"https://openalex.org/I81365321","display_name":"Old Dominion University","ror":"https://ror.org/04zjtrb98","country_code":"US","type":"education","lineage":["https://openalex.org/I81365321"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chung-Hao Chen","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Old Dominion University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Old Dominion University, USA","institution_ids":["https://openalex.org/I81365321"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5085366213"],"corresponding_institution_ids":["https://openalex.org/I91807558"],"apc_list":null,"apc_paid":null,"fwci":7.6932,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.96628869,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"16","issue":"2","first_page":"337","last_page":"345"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.9987000226974487,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.8701009750366211},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.8297624588012695},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8121739029884338},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6769803762435913},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5388884544372559},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.46452391147613525},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4198019504547119},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4173932373523712},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40061792731285095},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39283236861228943},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3603265881538391},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09656009078025818},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09189921617507935},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.08977550268173218}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.8701009750366211},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8297624588012695},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8121739029884338},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6769803762435913},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5388884544372559},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.46452391147613525},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4198019504547119},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4173932373523712},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40061792731285095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39283236861228943},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3603265881538391},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09656009078025818},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09189921617507935},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.08977550268173218},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2013.2286580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2013.2286580","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"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6600000262260437,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1561952261","https://openalex.org/W1996110654","https://openalex.org/W2006220817","https://openalex.org/W2008073424","https://openalex.org/W2015882865","https://openalex.org/W2021122545","https://openalex.org/W2028515670","https://openalex.org/W2034987376","https://openalex.org/W2048997552","https://openalex.org/W2049981393","https://openalex.org/W2075597533","https://openalex.org/W2082390334","https://openalex.org/W2089799371","https://openalex.org/W2099789128","https://openalex.org/W2102592056","https://openalex.org/W2103296388","https://openalex.org/W2104257528","https://openalex.org/W2106315979","https://openalex.org/W2130728502","https://openalex.org/W2131777949","https://openalex.org/W2133343739","https://openalex.org/W2135591521","https://openalex.org/W2140500712","https://openalex.org/W2146729014","https://openalex.org/W2148576459","https://openalex.org/W2148645123","https://openalex.org/W2149059164","https://openalex.org/W2165939338","https://openalex.org/W2172147801","https://openalex.org/W2295332248","https://openalex.org/W6652231383"],"related_works":["https://openalex.org/W4384112194","https://openalex.org/W2783354812","https://openalex.org/W2103009189","https://openalex.org/W4312958259","https://openalex.org/W4390813131","https://openalex.org/W2349383066","https://openalex.org/W2594043982","https://openalex.org/W3036493597","https://openalex.org/W4293094720","https://openalex.org/W2739701376"],"abstract_inverted_index":{"An":[0],"increasing":[1],"number":[2],"of":[3,20,66,86,110,117,124,148],"three-dimensional":[4],"(3D)":[5],"building":[6,30,138],"models":[7,139],"are":[8],"being":[9],"made":[10],"available":[11],"on":[12,63],"Web-based":[13],"model-sharing":[14],"platforms.":[15],"Motivated":[16],"by":[17,37,104,135],"the":[18,79,100,105,125,146,149],"concept":[19],"data":[21,91,119],"reuse,":[22],"an":[23],"encoding":[24,60,80],"approach":[25],"is":[26,96],"proposed":[27,97,126,150],"for":[28],"3D":[29,137],"model":[31],"retrieval":[32],"using":[33],"point":[34,48,87,111,143],"clouds":[35,49,144],"acquired":[36],"airborne":[38,141],"light":[39],"detection":[40],"and":[41,53,77,93,107,114],"ranging":[42],"(LiDAR)":[43],"systems.":[44],"To":[45],"encode":[46],"LiDAR":[47,118,142],"with":[50,140],"sparse,":[51],"noisy,":[52],"incomplete":[54,108],"sampling,":[55],"we":[56],"introduce":[57],"a":[58,64,90,121],"novel":[59],"scheme":[61],"based":[62],"set":[65],"low-frequency":[67],"spherical":[68],"harmonic":[69],"basis":[70],"functions.":[71],"These":[72],"functions":[73],"provide":[74],"compact":[75],"representation":[76],"ease":[78],"difficulty":[81],"coming":[82],"from":[83],"inherent":[84],"noises":[85],"clouds.":[88,112],"Additionally,":[89],"filling":[92],"resampling":[94],"technique":[95],"to":[98],"solve":[99],"aliasing":[101],"problem":[102],"caused":[103],"sparse":[106],"sampling":[109],"Qualitative":[113],"quantitative":[115],"analyses":[116],"show":[120],"clear":[122],"superiority":[123],"method":[127],"over":[128],"related":[129],"methods.":[130],"A":[131],"cyber":[132],"campus":[133],"generated":[134],"retrieving":[136],"demonstrates":[145],"feasibility":[147],"method.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
