{"id":"https://openalex.org/W4415541136","doi":"https://doi.org/10.1145/3746027.3758300","title":"DPCSet: A Large-scale Dynamic Point Cloud Dataset for Compression and Perception","display_name":"DPCSet: A Large-scale Dynamic Point Cloud Dataset for Compression and Perception","publication_year":2025,"publication_date":"2025-10-25","ids":{"openalex":"https://openalex.org/W4415541136","doi":"https://doi.org/10.1145/3746027.3758300"},"language":null,"primary_location":{"id":"doi:10.1145/3746027.3758300","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3758300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","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/A5011659868","display_name":"Wenxu Gao","orcid":"https://orcid.org/0000-0001-7321-2977"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxu Gao","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology, Shenzhen Graduate School, Peking University, Shenzhen, China and Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-7321-2977","affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology, Shenzhen Graduate School, Peking University, Shenzhen, China and Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100539559","display_name":"Liang Xie","orcid":"https://orcid.org/0009-0001-0973-8402"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]},{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Xie","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology &amp; Shenzhen Graduate School, Peking University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0001-0973-8402","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology &amp; Shenzhen Graduate School, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105","https://openalex.org/I4210152380"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kangli Wang","orcid":"https://orcid.org/0009-0000-2437-0469"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kangli Wang","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology, Shenzhen Graduate School, Peking University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0000-2437-0469","affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology, Shenzhen Graduate School, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052653467","display_name":"Jingxuan Su","orcid":"https://orcid.org/0000-0001-7441-794X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingxuan Su","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology, Shenzhen Graduate School, Peking University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-7441-794X","affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology, Shenzhen Graduate School, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039147112","display_name":"Changhao Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changhao Peng","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology, Shenzhen Graduate School, Peking University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0009-5336-2711","affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology, Shenzhen Graduate School, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050309466","display_name":"Wei Gao","orcid":"https://orcid.org/0000-0001-7429-5495"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Gao","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology, Shenzhen Graduate School, Peking University, Shenzhen, China and Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-7429-5495","affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology, Shenzhen Graduate School, Peking University, Shenzhen, China and Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.0298,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.96658647,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"13384","last_page":"13390"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9993000030517578,"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"}},"topics":[{"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"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9987999796867371,"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":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7465000152587891},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5909000039100647},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.539900004863739},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.517799973487854},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5112000107765198},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5016999840736389},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.492000013589859}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7465000152587891},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7245000004768372},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5909000039100647},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5593000054359436},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.539900004863739},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.517799973487854},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5112000107765198},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5016999840736389},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.492000013589859},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.48080000281333923},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.47369998693466187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42809998989105225},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.3515999913215637},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34599998593330383},{"id":"https://openalex.org/C150178126","wikidata":"https://www.wikidata.org/wiki/Q18433212","display_name":"Dynamic range compression","level":2,"score":0.3400999903678894},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3237000107765198},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.28780001401901245},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.27639999985694885},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.272599995136261},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.2599000036716461}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746027.3758300","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3758300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G903190655","display_name":null,"funder_award_id":"GXWD2020123116580700720200806163656003","funder_id":"https://openalex.org/F4320329791","funder_display_name":"Shenzhen Fundamental Research Program"}],"funders":[{"id":"https://openalex.org/F4320329791","display_name":"Shenzhen Fundamental Research Program","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1973675305","https://openalex.org/W2905544027","https://openalex.org/W3014200484","https://openalex.org/W3044358537","https://openalex.org/W3159975835","https://openalex.org/W3208925944","https://openalex.org/W3211374646","https://openalex.org/W4200122048","https://openalex.org/W4210824758","https://openalex.org/W4224034487","https://openalex.org/W4283728946","https://openalex.org/W4285303928","https://openalex.org/W4308842768","https://openalex.org/W4317103249","https://openalex.org/W4366590529","https://openalex.org/W4384069384","https://openalex.org/W4386065814","https://openalex.org/W4387831705","https://openalex.org/W4393149609","https://openalex.org/W4396605141","https://openalex.org/W4401490108","https://openalex.org/W4403780767","https://openalex.org/W4403792100","https://openalex.org/W4409364907"],"related_works":[],"abstract_inverted_index":{"The":[0,173],"increasing":[1],"demand":[2],"for":[3,146,169],"large-scale,":[4],"high-quality":[5],"datasets":[6],"in":[7,40,61,131],"dynamic":[8,52,70,163],"point":[9,53,72,116,164],"cloud":[10,54,117],"compression":[11,122,135,171],"(PCC)":[12],"and":[13,31,37,65,84,93,137],"human":[14,63],"visual":[15],"perception":[16],"research":[17,60],"underscores":[18],"the":[19,100],"limitations":[20],"of":[21,76,120,162],"existing":[22],"datasets,":[23],"which":[24],"are":[25],"often":[26],"constrained":[27],"by":[28],"limited":[29],"scale":[30],"insufficient":[32],"dynamism,":[33],"hindering":[34],"algorithm":[35],"validation":[36],"perceptual":[38,160],"analysis":[39],"complex":[41],"scenarios.":[42],"To":[43],"address":[44],"this":[45],"gap,":[46],"we":[47],"present":[48],"DPCSet,":[49],"a":[50,125,143,155],"comprehensive":[51],"dataset":[55,101,174],"designed":[56],"to":[57],"support":[58],"advanced":[59],"PCC,":[62],"perception,":[64],"related":[66],"domains.":[67],"Comprising":[68],"100":[69],"object":[71,89],"clouds-the":[73],"largest":[74],"collection":[75],"its":[77],"kind-DPCSet":[78],"includes":[79],"200-frame":[80],"sequences":[81],"with":[82],"geometry":[83],"attribute":[85],"information,":[86],"capturing":[87],"diverse":[88],"types":[90],"across":[91],"real":[92],"virtual":[94],"environments.":[95],"Organized":[96],"into":[97],"seven":[98],"superclasses,":[99],"ensures":[102],"broad":[103],"scenario":[104],"coverage.":[105],"By":[106],"rigorous":[107],"selection,":[108],"format":[109],"conversion,":[110],"quantization,":[111],"DPCSet":[112],"delivers":[113],"standardized,":[114],"high-precision":[115],"data.":[118],"Evaluation":[119],"multiple":[121],"algorithms":[123],"on":[124,154],"curated":[126],"subset":[127,157],"demonstrates":[128],"DPCSet's":[129],"efficacy":[130],"assessing":[132],"trade-offs":[133],"between":[134],"efficiency":[136],"quality":[138],"loss,":[139],"positioning":[140],"it":[141],"as":[142],"potential":[144],"benchmark":[145],"PCC.":[147],"Furthermore,":[148],"just":[149],"noticeable":[150],"distortion":[151],"(JND)":[152],"experiments":[153],"compression-distorted":[156],"reveal":[158],"distinct":[159],"characteristics":[161],"clouds,":[165],"offering":[166],"valuable":[167],"insights":[168],"perception-driven":[170],"algorithms.":[172],"is":[175],"released":[176],"at":[177],"https://openi.pcl.ac.cn/gaowx/DPCSet.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-25T00:00:00"}
