{"id":"https://openalex.org/W3183127766","doi":"https://doi.org/10.1145/3450626.3459676","title":"ROSEFusion","display_name":"ROSEFusion","publication_year":2021,"publication_date":"2021-07-19","ids":{"openalex":"https://openalex.org/W3183127766","doi":"https://doi.org/10.1145/3450626.3459676","mag":"3183127766"},"language":"en","primary_location":{"id":"doi:10.1145/3450626.3459676","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3450626.3459676","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","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/A5034850281","display_name":"Jiazhao Zhang","orcid":"https://orcid.org/0000-0001-9459-293X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiazhao Zhang","raw_affiliation_strings":["National University of Defense Technology, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114859293","display_name":"Chenyang Zhu","orcid":"https://orcid.org/0000-0003-2838-8601"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyang Zhu","raw_affiliation_strings":["National University of Defense Technology, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103065420","display_name":"Lintao Zheng","orcid":"https://orcid.org/0000-0002-6310-999X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lintao Zheng","raw_affiliation_strings":["National University of Defense Technology, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101925526","display_name":"Kai Xu","orcid":"https://orcid.org/0000-0002-4334-2444"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Xu","raw_affiliation_strings":["National University of Defense Technology, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5034850281"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":3.8427,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.94852941,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":"40","issue":"4","first_page":"1","last_page":"17"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9994999766349792,"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/computer-vision","display_name":"Computer vision","score":0.7309552431106567},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7259320020675659},{"id":"https://openalex.org/keywords/motion-blur","display_name":"Motion blur","score":0.6782366037368774},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6581233739852905},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.601250410079956},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5584128499031067},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5084008574485779},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.41286301612854004},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.25155824422836304},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22512120008468628},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15370750427246094}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7309552431106567},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7259320020675659},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.6782366037368774},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6581233739852905},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.601250410079956},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5584128499031067},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5084008574485779},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.41286301612854004},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.25155824422836304},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22512120008468628},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15370750427246094},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3450626.3459676","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3450626.3459676","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.4699999988079071}],"awards":[{"id":"https://openalex.org/G3807825829","display_name":null,"funder_award_id":"ZK19-30","funder_id":"https://openalex.org/F4320324150","funder_display_name":"National University of Defense Technology"},{"id":"https://openalex.org/G3997848953","display_name":null,"funder_award_id":"61532003, 62002376","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324150","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W612478963","https://openalex.org/W1541932267","https://openalex.org/W1710473739","https://openalex.org/W1820051232","https://openalex.org/W1965027246","https://openalex.org/W1965851203","https://openalex.org/W1967598055","https://openalex.org/W1970504153","https://openalex.org/W1984628960","https://openalex.org/W1987648924","https://openalex.org/W2004546930","https://openalex.org/W2009422376","https://openalex.org/W2010522557","https://openalex.org/W2021851106","https://openalex.org/W2032871891","https://openalex.org/W2041836310","https://openalex.org/W2049046732","https://openalex.org/W2058535340","https://openalex.org/W2058933750","https://openalex.org/W2059496137","https://openalex.org/W2064451896","https://openalex.org/W2065906272","https://openalex.org/W2071398263","https://openalex.org/W2071906076","https://openalex.org/W2073660060","https://openalex.org/W2083892344","https://openalex.org/W2091790851","https://openalex.org/W2098613108","https://openalex.org/W2099332139","https://openalex.org/W2099940712","https://openalex.org/W2102430842","https://openalex.org/W2108134361","https://openalex.org/W2110301630","https://openalex.org/W2118223742","https://openalex.org/W2118709558","https://openalex.org/W2125420246","https://openalex.org/W2130422193","https://openalex.org/W2140599684","https://openalex.org/W2143211186","https://openalex.org/W2151290401","https://openalex.org/W2218842719","https://openalex.org/W2243794092","https://openalex.org/W2250172176","https://openalex.org/W2336416123","https://openalex.org/W2336961836","https://openalex.org/W2461079165","https://openalex.org/W2473447037","https://openalex.org/W2482726005","https://openalex.org/W2490431186","https://openalex.org/W2535547924","https://openalex.org/W2772942222","https://openalex.org/W2804090485","https://openalex.org/W2951730755","https://openalex.org/W2957323419","https://openalex.org/W2960081125","https://openalex.org/W2963052239","https://openalex.org/W2967109249","https://openalex.org/W3034324855","https://openalex.org/W3102327032","https://openalex.org/W3125449081","https://openalex.org/W3125723580","https://openalex.org/W4231633165","https://openalex.org/W4236965008","https://openalex.org/W4401344805"],"related_works":["https://openalex.org/W2015530857","https://openalex.org/W1991846142","https://openalex.org/W2084086966","https://openalex.org/W1989212443","https://openalex.org/W2103644279","https://openalex.org/W4302986566","https://openalex.org/W1968585197","https://openalex.org/W2163445067","https://openalex.org/W4247544095","https://openalex.org/W2122155275"],"abstract_inverted_index":{"Online":[0],"reconstruction":[1,25],"based":[2,183],"on":[3,184,250,257],"RGB-D":[4,254],"sequences":[5],"has":[6],"thus":[7],"far":[8],"been":[9],"restrained":[10],"to":[11,39,51,64,69,106,152,159,205,209,233],"relatively":[12],"slow":[13],"camera":[14,20,47,75,135,230,264],"motions":[15],"(<1m/s).":[16],"Under":[17],"very":[18],"fast":[19,168,229,263],"motion":[21,35,65,196,206,231],"(e.g.,":[22],"3m/s),":[23],"the":[24,31,43,57,71,78,88,95,108,127,131,141,195,210,217,268,275,278],"can":[26],"easily":[27],"crumble":[28],"even":[29],"for":[30],"state-of-the-art":[32],"methods.":[33],"Fast":[34],"brings":[36],"two":[37],"challenges":[38],"depth":[40],"fusion:":[41],"1)":[42],"high":[44],"nonlinearity":[45],"of":[46,59,73,80,122,134,155,157,253,262,271,277],"pose":[48,226,245],"optimization":[49],"due":[50,63],"large":[52],"inter-frame":[53],"rotations":[54],"and":[55,99,139,161,169,192,216],"2)":[56],"lack":[58],"reliably":[60],"trackable":[61],"features":[62],"blur.":[66,207],"We":[67],"propose":[68,105],"tackle":[70],"difficulties":[72],"fast-motion":[74],"tracking":[76,227],"in":[77,86,101,130,235],"absence":[79],"inertial":[81],"measurements":[82],"using":[83],"random":[84],"optimization,":[85],"particular,":[87],"Particle":[89],"Filter":[90],"Optimization":[91],"(PFO).":[92],"To":[93],"surmount":[94],"computation-intensive":[96],"particle":[97,114,213],"sampling":[98],"update":[100],"standard":[102],"PFO,":[103],"we":[104,266],"accelerate":[107],"randomized":[109],"search":[110],"via":[111],"updating":[112],"a":[113,120,163,179,236,258],"swarm":[115,146],"template":[116],"(PST).":[117],"PST":[118,143],"is":[119,150],"set":[121,214],"particles":[123,158],"pre-sampled":[124,142],"uniformly":[125],"within":[126],"unit":[128],"sphere":[129],"6D":[132],"space":[133],"pose.":[136],"Through":[137,247],"moving":[138],"rescaling":[140],"guided":[144],"by":[145],"intelligence,":[147],"our":[148,188,221,272],"method":[149,222,273],"able":[151],"drive":[153],"tens":[154],"thousands":[156],"locate":[160],"cover":[162],"good":[164,224],"local":[165],"optimum":[166],"extremely":[167],"robustly.":[170],"The":[171],"particles,":[172],"representing":[173],"candidate":[174],"poses,":[175],"are":[176,202],"evaluated":[177],"with":[178],"fitness":[180,219],"function":[181],"defined":[182],"depth-model":[185],"conformance.":[186],"Therefore,":[187],"method,":[189],"being":[190],"depth-only":[191],"correspondence-free,":[193],"mitigates":[194],"blur":[197],"impediment":[198],"as":[199],"(ToF-based)":[200],"depths":[201],"often":[203],"resilient":[204],"Thanks":[208],"efficient":[211],"template-based":[212],"evolution":[215],"effective":[218],"function,":[220],"attains":[223],"quality":[225],"under":[228],"(up":[232],"4m/s)":[234],"realtime":[237],"framerate":[238],"without":[239],"including":[240],"loop":[241],"closure":[242],"or":[243],"global":[244],"optimization.":[246],"extensive":[248],"evaluations":[249],"public":[251],"datasets":[252],"sequences,":[255],"especially":[256],"newly":[259],"proposed":[260],"benchmark":[261],"motion,":[265],"demonstrate":[267],"significant":[269],"advantage":[270],"over":[274],"state":[276],"arts.":[279]},"counts_by_year":[{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":2}],"updated_date":"2026-01-10T23:39:48.068659","created_date":"2021-07-19T00:00:00"}