{"id":"https://openalex.org/W3175592002","doi":"https://doi.org/10.1109/icmew53276.2021.9456018","title":"An Improved Coarse-To-Fine Motion Estimation Scheme For Lidar Point Cloud Geometry Compression","display_name":"An Improved Coarse-To-Fine Motion Estimation Scheme For Lidar Point Cloud Geometry Compression","publication_year":2021,"publication_date":"2021-06-21","ids":{"openalex":"https://openalex.org/W3175592002","doi":"https://doi.org/10.1109/icmew53276.2021.9456018","mag":"3175592002"},"language":"en","primary_location":{"id":"doi:10.1109/icmew53276.2021.9456018","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew53276.2021.9456018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia &amp; Expo Workshops (ICMEW)","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/A5104103686","display_name":"Jiamin Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiamin Jin","raw_affiliation_strings":["Peking University,Shenzhen Graduate School,Shenzhen,China","Shenzhen Graduate School, Peking University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Peking University,Shenzhen Graduate School,Shenzhen,China","institution_ids":["https://openalex.org/I4210128628"]},{"raw_affiliation_string":"Shenzhen Graduate School, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I4210128628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100447691","display_name":"Ge Li","orcid":"https://orcid.org/0000-0003-0140-0949"},"institutions":[{"id":"https://openalex.org/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ge Li","raw_affiliation_strings":["Peking University,Shenzhen Graduate School,Shenzhen,China","Shenzhen Graduate School, Peking University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Peking University,Shenzhen Graduate School,Shenzhen,China","institution_ids":["https://openalex.org/I4210128628"]},{"raw_affiliation_string":"Shenzhen Graduate School, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I4210128628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040696546","display_name":"Yiting Shao","orcid":"https://orcid.org/0000-0001-9625-0124"},"institutions":[{"id":"https://openalex.org/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiting Shao","raw_affiliation_strings":["Peking University,Shenzhen Graduate School,Shenzhen,China","Shenzhen Graduate School, Peking University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Peking University,Shenzhen Graduate School,Shenzhen,China","institution_ids":["https://openalex.org/I4210128628"]},{"raw_affiliation_string":"Shenzhen Graduate School, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I4210128628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101633968","display_name":"Fei Song","orcid":"https://orcid.org/0000-0002-8825-6494"},"institutions":[{"id":"https://openalex.org/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Song","raw_affiliation_strings":["Peking University,Shenzhen Graduate School,Shenzhen,China","Shenzhen Graduate School, Peking University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Peking University,Shenzhen Graduate School,Shenzhen,China","institution_ids":["https://openalex.org/I4210128628"]},{"raw_affiliation_string":"Shenzhen Graduate School, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I4210128628"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100666490","display_name":"Ruonan Zhang","orcid":"https://orcid.org/0000-0003-0030-6758"},"institutions":[{"id":"https://openalex.org/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruonan Zhang","raw_affiliation_strings":["Peking University,Shenzhen Graduate School,Shenzhen,China","Shenzhen Graduate School, Peking University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Peking University,Shenzhen Graduate School,Shenzhen,China","institution_ids":["https://openalex.org/I4210128628"]},{"raw_affiliation_string":"Shenzhen Graduate School, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I4210128628"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5104103686"],"corresponding_institution_ids":["https://openalex.org/I4210128628"],"apc_list":null,"apc_paid":null,"fwci":0.2882,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.54696078,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9994999766349792,"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":0.9993000030517578,"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":0.8077855706214905},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.8059818744659424},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6809830069541931},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.6159980297088623},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5821359157562256},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.5479632616043091},{"id":"https://openalex.org/keywords/structure-from-motion","display_name":"Structure from motion","score":0.5189523696899414},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.46382275223731995},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.459855854511261},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.4419693648815155},{"id":"https://openalex.org/keywords/quarter-pixel-motion","display_name":"Quarter-pixel motion","score":0.43445825576782227},{"id":"https://openalex.org/keywords/motion-field","display_name":"Motion field","score":0.43107494711875916},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.41570010781288147},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3596869707107544},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3535633385181427},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1823706328868866}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.8077855706214905},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8059818744659424},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6809830069541931},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.6159980297088623},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5821359157562256},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.5479632616043091},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.5189523696899414},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.46382275223731995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.459855854511261},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.4419693648815155},{"id":"https://openalex.org/C174493125","wikidata":"https://www.wikidata.org/wiki/Q1073461","display_name":"Quarter-pixel motion","level":3,"score":0.43445825576782227},{"id":"https://openalex.org/C124774092","wikidata":"https://www.wikidata.org/wiki/Q6917782","display_name":"Motion field","level":3,"score":0.43107494711875916},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.41570010781288147},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3596869707107544},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3535633385181427},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1823706328868866},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmew53276.2021.9456018","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew53276.2021.9456018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia &amp; Expo Workshops (ICMEW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1529450504","https://openalex.org/W1966634937","https://openalex.org/W2074954154","https://openalex.org/W2319503556","https://openalex.org/W2752643636","https://openalex.org/W2790832308","https://openalex.org/W2793293836","https://openalex.org/W2890951373","https://openalex.org/W2905544027","https://openalex.org/W2962845071","https://openalex.org/W2968835586","https://openalex.org/W2970849590","https://openalex.org/W3013772188","https://openalex.org/W6631686956"],"related_works":["https://openalex.org/W2978432024","https://openalex.org/W2118338613","https://openalex.org/W1995805316","https://openalex.org/W4391584725","https://openalex.org/W1501297619","https://openalex.org/W2053820737","https://openalex.org/W1484667368","https://openalex.org/W2026674073","https://openalex.org/W2012241496","https://openalex.org/W2010464357"],"abstract_inverted_index":{"Light":[0],"detection":[1],"and":[2,35,62,83,165,172],"ranging":[3],"(LiDAR)":[4],"plays":[5],"a":[6],"vital":[7],"role":[8],"in":[9,68,117,170],"autonomous":[10],"driving":[11],"applications.":[12],"Due":[13],"to":[14,47,79,102,128],"the":[15,50,69,118,143,155],"enormous":[16],"volume":[17],"of":[18,138,148,163],"point":[19,26,55,88,100,158],"cloud":[20,27,101],"data":[21],"from":[22,86],"LiDAR":[23,25,54],"acquisition,":[24],"compression":[28],"schemes":[29],"are":[30,167],"desirable":[31],"under":[32],"limited":[33],"storage":[34],"transmission":[36],"bandwidth.":[37],"This":[38],"paper":[39],"proposes":[40],"an":[41,74,93,108],"improved":[42],"coarse-to-fine":[43],"motion":[44,60,65,71,105,121],"estimation":[45,61,72,122],"scheme":[46,76],"significantly":[48],"reduce":[49],"spatial":[51],"redundancy":[52],"among":[53],"clouds,":[56,159],"combining":[57],"registration-based":[58],"global":[59,70,104],"block-based":[63,119],"local":[64,120],"estimation.":[66],"First,":[67],"process,":[73],"efficient":[75],"is":[77,115],"introduced":[78,116],"segment":[80],"ground":[81],"level":[82,85],"object":[84,99],"original":[87],"clouds.":[89],"Then":[90],"we":[91],"use":[92],"ICP-based":[94],"registration":[95],"method":[96,114],"for":[97],"extracted":[98],"estimate":[103,129],"transformation.":[106],"Second,":[107],"irregular":[109],"prediction":[110],"unit":[111],"(PU)":[112],"partition":[113],"part,":[123],"which":[124],"provides":[125],"more":[126],"flexibility":[127],"complex":[130],"motions.":[131],"Experimental":[132],"results":[133],"have":[134],"shown":[135],"significant":[136],"gains":[137,162],"our":[139],"proposed":[140],"model":[141,146],"over":[142],"state-of-the-art":[144],"test":[145],"(TMC13)":[147],"MPEG":[149],"Geometry-based":[150],"PCC":[151],"(GPCC)":[152],"standard.":[153],"For":[154],"dynamically":[156],"acquired":[157],"average":[160],"coding":[161],"8.0%":[164],"1.2%":[166],"obtained":[168],"respectively":[169],"lossy":[171],"lossless":[173],"geometric":[174],"coding.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
