{"id":"https://openalex.org/W2563104005","doi":"https://doi.org/10.1109/icip.2016.7532904","title":"Accurate RGB camera relocalization using regression forest","display_name":"Accurate RGB camera relocalization using regression forest","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2563104005","doi":"https://doi.org/10.1109/icip.2016.7532904","mag":"2563104005"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7532904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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/A5100402802","display_name":"Jianing Li","orcid":"https://orcid.org/0000-0002-7468-0622"},"institutions":[{"id":"https://openalex.org/I4210141176","display_name":"Communication University of Zhejiang","ror":"https://ror.org/04t7gxr16","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210141176"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianing Li","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","Zhejiang Provincial Key Laboratory of Information Processing, Communication and Networking, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang Provincial Key Laboratory of Information Processing, Communication and Networking, China","institution_ids":["https://openalex.org/I4210141176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088784638","display_name":"Lianghao Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141176","display_name":"Communication University of Zhejiang","ror":"https://ror.org/04t7gxr16","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210141176"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianghao Wang","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","Zhejiang Provincial Key Laboratory of Information Processing, Communication and Networking, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang Provincial Key Laboratory of Information Processing, Communication and Networking, China","institution_ids":["https://openalex.org/I4210141176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100718416","display_name":"Dongxiao Li","orcid":"https://orcid.org/0000-0002-5619-0419"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]},{"id":"https://openalex.org/I4210141176","display_name":"Communication University of Zhejiang","ror":"https://ror.org/04t7gxr16","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210141176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongxiao Li","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","Zhejiang Provincial Key Laboratory of Information Processing, Communication and Networking, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang Provincial Key Laboratory of Information Processing, Communication and Networking, China","institution_ids":["https://openalex.org/I4210141176"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100447289","display_name":"Ming Zhang","orcid":"https://orcid.org/0000-0002-6497-5566"},"institutions":[{"id":"https://openalex.org/I4210141176","display_name":"Communication University of Zhejiang","ror":"https://ror.org/04t7gxr16","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210141176"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Zhang","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","Zhejiang Provincial Key Laboratory of Information Processing, Communication and Networking, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang Provincial Key Laboratory of Information Processing, Communication and Networking, China","institution_ids":["https://openalex.org/I4210141176"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100402802"],"corresponding_institution_ids":["https://openalex.org/I4210141176","https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.7631,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.83809752,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"8690","issue":null,"first_page":"2971","last_page":"2975"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":1.0,"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":1.0,"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/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/T10627","display_name":"Advanced Image and Video Retrieval 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/ransac","display_name":"RANSAC","score":0.8031421303749084},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7496159672737122},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6642347574234009},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6274622678756714},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5377421975135803},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5304726362228394},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5179623365402222},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.49204346537590027},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.43084412813186646},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4282434582710266},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.36371421813964844},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3365776240825653},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1440427601337433}],"concepts":[{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.8031421303749084},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7496159672737122},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6642347574234009},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6274622678756714},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5377421975135803},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5304726362228394},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5179623365402222},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.49204346537590027},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.43084412813186646},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4282434582710266},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.36371421813964844},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3365776240825653},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1440427601337433},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2016.7532904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W137456267","https://openalex.org/W172235910","https://openalex.org/W612478963","https://openalex.org/W940504041","https://openalex.org/W1564897360","https://openalex.org/W1612997784","https://openalex.org/W1661995841","https://openalex.org/W1989476314","https://openalex.org/W2000191307","https://openalex.org/W2027543669","https://openalex.org/W2060280062","https://openalex.org/W2067191022","https://openalex.org/W2076148183","https://openalex.org/W2085261163","https://openalex.org/W2099940712","https://openalex.org/W2108134361","https://openalex.org/W2117228865","https://openalex.org/W2120333476","https://openalex.org/W2134446283","https://openalex.org/W2156854610","https://openalex.org/W3103648783","https://openalex.org/W3159556754","https://openalex.org/W6637182498"],"related_works":["https://openalex.org/W2131378265","https://openalex.org/W2984240274","https://openalex.org/W3107042705","https://openalex.org/W2115876589","https://openalex.org/W2981196697","https://openalex.org/W3083084699","https://openalex.org/W3012182724","https://openalex.org/W2091943821","https://openalex.org/W1988708904","https://openalex.org/W2091196744"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5,48,52,79],"novel":[6],"accurate":[7],"6DOF":[8,45],"(Degree":[9],"of":[10],"Freedom)":[11],"relocalization":[12,46],"approach":[13,22,138],"for":[14,25,85],"RGB":[15,81],"camera":[16,86,131],"based":[17,36,40,112,120],"on":[18,124,141],"regression":[19,49,53,101],"forest.":[20,102],"Our":[21],"is":[23,55,83],"adaptive":[24],"both":[26],"sparse":[27,38],"and":[28,59,70,96],"dense":[29],"application":[30],"scenarios":[31],"compared":[32],"to":[33,62,127],"other":[34],"image":[35,82,125],"or":[37],"feature":[39],"approaches.":[41],"We":[42,88,114],"formulate":[43],"the":[44,64,90,129,142],"as":[47],"problem.":[50],"First":[51],"forest":[54],"trained":[56],"with":[57,93],"color":[58],"depth":[60],"sequences":[61],"form":[63],"association":[65],"between":[66],"each":[67],"2D":[68],"pixel":[69],"its":[71],"3D":[72],"coordinate":[73],"probability":[74],"distribution.":[75],"At":[76],"runtime,":[77],"only":[78],"single":[80],"used":[84],"relocalization.":[87],"employ":[89],"preemptive":[91],"RANSAC":[92],"sampled":[94],"pixels":[95],"their":[97],"inferred":[98],"modes":[99],"by":[100,108],"The":[103],"hypothesis":[104],"poses":[105],"are":[106],"generated":[107],"triangle":[109],"similarity":[110],"constrain":[111],"method.":[113],"also":[115],"propose":[116],"an":[117],"anisotropy":[118],"Gaussian":[119],"continuous":[121],"optimization":[122],"method":[123],"plane":[126],"refine":[128],"final":[130],"pose.":[132],"Experiment":[133],"results":[134],"show":[135],"that":[136],"our":[137],"generalizes":[139],"well":[140],"test":[143],"dataset.":[144]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}