{"id":"https://openalex.org/W2004392474","doi":"https://doi.org/10.1109/icme.2014.6890240","title":"Efficient pose tracking on mobile phones with 3D points grouping","display_name":"Efficient pose tracking on mobile phones with 3D points grouping","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2004392474","doi":"https://doi.org/10.1109/icme.2014.6890240","mag":"2004392474"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2014.6890240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2014.6890240","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Multimedia and Expo (ICME)","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/A5075239612","display_name":"Juan Lei","orcid":null},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Juan Lei","raw_affiliation_strings":["National laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing, China","National Laboratory of Pattern Recognition,  Institute of Automation,  Chinese Academy of Sciences,  Beijing 100190,  China"],"affiliations":[{"raw_affiliation_string":"National laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition,  Institute of Automation,  Chinese Academy of Sciences,  Beijing 100190,  China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100395198","display_name":"Zhenhua Wang","orcid":"https://orcid.org/0009-0009-2054-4308"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenhua Wang","raw_affiliation_strings":["National laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing, China","National Laboratory of Pattern Recognition,  Institute of Automation,  Chinese Academy of Sciences,  Beijing 100190,  China"],"affiliations":[{"raw_affiliation_string":"National laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition,  Institute of Automation,  Chinese Academy of Sciences,  Beijing 100190,  China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100645164","display_name":"Yihong Wu","orcid":"https://orcid.org/0000-0003-2198-9113"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihong Wu","raw_affiliation_strings":["National laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing, China","National Laboratory of Pattern Recognition,  Institute of Automation,  Chinese Academy of Sciences,  Beijing 100190,  China"],"affiliations":[{"raw_affiliation_string":"National laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition,  Institute of Automation,  Chinese Academy of Sciences,  Beijing 100190,  China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100373580","display_name":"Lixin Fan","orcid":"https://orcid.org/0000-0002-8162-7096"},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Lixin Fan","raw_affiliation_strings":["Nokia Research Center, Tampere, Finland","Nokia Res. Center, Tampere, Finland#TAB#"],"affiliations":[{"raw_affiliation_string":"Nokia Research Center, Tampere, Finland","institution_ids":["https://openalex.org/I2738502077"]},{"raw_affiliation_string":"Nokia Res. Center, Tampere, Finland#TAB#","institution_ids":["https://openalex.org/I2738502077"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5075239612"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"],"apc_list":null,"apc_paid":null,"fwci":1.6195,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.8563569,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"7474","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval 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/T10888","display_name":"Augmented Reality Applications","score":0.9983999729156494,"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-science","display_name":"Computer science","score":0.828703761100769},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7351565361022949},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6904995441436768},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.5933589339256287},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5884667634963989},{"id":"https://openalex.org/keywords/mobile-phone","display_name":"Mobile phone","score":0.5529806017875671},{"id":"https://openalex.org/keywords/augmented-reality","display_name":"Augmented reality","score":0.5191677808761597},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.485277384519577},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.42031192779541016},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.41607704758644104},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3009878993034363},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09221699833869934}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.828703761100769},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7351565361022949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6904995441436768},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.5933589339256287},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5884667634963989},{"id":"https://openalex.org/C2777421447","wikidata":"https://www.wikidata.org/wiki/Q17517","display_name":"Mobile phone","level":2,"score":0.5529806017875671},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.5191677808761597},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.485277384519577},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.42031192779541016},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.41607704758644104},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3009878993034363},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09221699833869934},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"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/icme.2014.6890240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2014.6890240","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1487141455","https://openalex.org/W1565206031","https://openalex.org/W1565312575","https://openalex.org/W1602981911","https://openalex.org/W1991544872","https://openalex.org/W2019085623","https://openalex.org/W2058056643","https://openalex.org/W2085261163","https://openalex.org/W2099361355","https://openalex.org/W2100656575","https://openalex.org/W2108598000","https://openalex.org/W2110357983","https://openalex.org/W2117228865","https://openalex.org/W2125795712","https://openalex.org/W2128728535","https://openalex.org/W2129000642","https://openalex.org/W2141584146","https://openalex.org/W2151103935","https://openalex.org/W2152671441","https://openalex.org/W2156539155","https://openalex.org/W2166212176","https://openalex.org/W2170647363","https://openalex.org/W6633480776","https://openalex.org/W6633567737","https://openalex.org/W6635970415"],"related_works":["https://openalex.org/W3034955165","https://openalex.org/W2094920358","https://openalex.org/W2041448692","https://openalex.org/W2247121321","https://openalex.org/W2391926582","https://openalex.org/W2087391438","https://openalex.org/W1966831329","https://openalex.org/W2316074893","https://openalex.org/W2020188645","https://openalex.org/W2885114961"],"abstract_inverted_index":{"With":[0],"the":[1,55,64,72,123,154],"rapid":[2],"growth":[3],"of":[4,9,30,53,66,75,126],"computational":[5,137],"capability":[6],"and":[7,71,109,151],"popularity":[8],"mobile":[10,95],"phones,":[11],"Mobile":[12],"Augmented":[13],"Reality":[14],"(MAR)":[15],"in":[16,25,104],"large":[17,73],"scale":[18],"3D":[19,76,115],"scenes":[20],"becomes":[21],"an":[22,88],"emerging":[23],"field":[24],"recent":[26],"years.":[27],"The":[28],"core":[29],"MAR":[31],"is":[32,59,119],"to":[33,63,82,121,133],"continuously":[34],"compute":[35],"a":[36,50,113,135,141],"precise":[37],"6":[38],"Degree-of-Freedom":[39],"(DOF)":[40],"camera":[41,156],"pose":[42,91],"for":[43],"each":[44],"frame,":[45],"i.e.":[46],"localization.":[47],"However,":[48],"as":[49],"crucial":[51],"part":[52],"localization,":[54],"2D-3D":[56,127],"points":[57,77,116,128],"matching":[58],"usually":[60],"inefficient":[61],"due":[62],"usage":[65],"traditional":[67],"features,":[68],"e.g.":[69],"SIFT,":[70],"number":[74],"candidates.":[78],"This":[79],"paper":[80],"aims":[81],"tackle":[83],"this":[84,98],"problem":[85],"by":[86],"designing":[87],"efficient":[89],"6DOF":[90,155],"tracking":[92],"system":[93,148],"on":[94,140],"phone.":[96],"In":[97],"system,":[99],"binary":[100],"features":[101],"are":[102],"used":[103],"both":[105],"offline":[106],"sparse":[107],"reconstruction":[108],"online":[110],"tracking,":[111],"while":[112],"PCA-based":[114],"partition":[117],"method":[118],"proposed":[120],"reduce":[122],"searching":[124],"space":[125],"matching,":[129],"making":[130],"it":[131],"capable":[132],"achieve":[134],"low":[136],"cost.":[138],"Experiments":[139],"NOKIA":[142],"N900":[143],"smartphone":[144],"show":[145],"that":[146],"our":[147],"could":[149],"efficiently":[150],"robustly":[152],"estimate":[153],"pose.":[157]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}