{"id":"https://openalex.org/W2374711798","doi":null,"title":"Prior information constrained SIFT matching algorithm for visual simultaneous localization and mapping","display_name":"Prior information constrained SIFT matching algorithm for visual simultaneous localization and mapping","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W2374711798","mag":"2374711798"},"language":"en","primary_location":{"id":"mag:2374711798","doi":null,"is_oa":false,"landing_page_url":"https://en.cnki.com.cn/Article_en/CJFDTOTAL-KZYC201106026.htm","pdf_url":null,"source":{"id":"https://openalex.org/S2764380666","display_name":"Kongzhi yu juece","issn_l":"1001-0920","issn":["1001-0920"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-40","russia-white-list-3"],"host_organization":"https://openalex.org/P4320800596","host_organization_name":"Northeastern University","host_organization_lineage":["https://openalex.org/P4320800596"],"host_organization_lineage_names":["Northeastern University"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Kongzhi yu juece","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5100886889","display_name":"Xujiong Meng","orcid":null,"observed_orcids":[]},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xujiong Meng","raw_affiliation_strings":["(Zhejiang University)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"(Zhejiang University)","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028024624","display_name":"Rongxin Jiang","orcid":"https://orcid.org/0000-0001-7901-3047","observed_orcids":["https://orcid.org/0000-0001-7901-3047"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rongxin Jiang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-7901-3047","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5008526350","display_name":"Yaowu Chen","orcid":"https://orcid.org/0000-0002-6037-0631","observed_orcids":["https://orcid.org/0000-0002-6037-0631"]},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaowu Chen","raw_affiliation_strings":["Institute of Advanced Digital Technologies and Instrumentation,Zhejiang University,Hangzhou 310027,China)"],"raw_orcid":"https://orcid.org/0000-0002-6037-0631","affiliations":[{"raw_affiliation_string":"Institute of Advanced Digital Technologies and Instrumentation,Zhejiang University,Hangzhou 310027,China)","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9535999894142151,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9535999894142151,"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":0.04569999873638153,"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/T10531","display_name":"Advanced Vision and Imaging","score":9.999999747378752e-05,"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/sift-feature-matching","display_name":"SIFT feature matching","score":0.8640000224113464},{"id":"https://openalex.org/keywords/visual-slam","display_name":"visual SLAM","score":0.8489999771118164},{"id":"https://openalex.org/keywords/computational-efficiency","display_name":"computational efficiency","score":0.6729999780654907},{"id":"https://openalex.org/keywords/feature-mismatch","display_name":"feature mismatch","score":0.6060000061988831},{"id":"https://openalex.org/keywords/robot-vision","display_name":"robot vision","score":0.6909999847412109}],"concepts":[{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.9759612083435059},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7257745265960693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6934108734130859},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6360703706741333},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5995856523513794},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5493688583374023},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5462689995765686},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.5032820105552673},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49922871589660645},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4166545569896698},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4101514220237732},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3944731652736664},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.372658371925354},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2374711798","doi":null,"is_oa":false,"landing_page_url":"https://en.cnki.com.cn/Article_en/CJFDTOTAL-KZYC201106026.htm","pdf_url":null,"source":{"id":"https://openalex.org/S2764380666","display_name":"Kongzhi yu juece","issn_l":"1001-0920","issn":["1001-0920"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-40","russia-white-list-3"],"host_organization":"https://openalex.org/P4320800596","host_organization_name":"Northeastern University","host_organization_lineage":["https://openalex.org/P4320800596"],"host_organization_lineage_names":["Northeastern University"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Kongzhi yu juece","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1496099826","https://openalex.org/W1536525649","https://openalex.org/W1583045688","https://openalex.org/W1677409904","https://openalex.org/W1976104533","https://openalex.org/W1991113069","https://openalex.org/W2077747248","https://openalex.org/W2085261163","https://openalex.org/W2099177570","https://openalex.org/W2101648351","https://openalex.org/W2104095591","https://openalex.org/W2118153703","https://openalex.org/W2122184585","https://openalex.org/W2127292566","https://openalex.org/W2131213661","https://openalex.org/W2132363464","https://openalex.org/W2133805303","https://openalex.org/W2137394460","https://openalex.org/W2145072179","https://openalex.org/W2145803225","https://openalex.org/W2150149968","https://openalex.org/W2150554841","https://openalex.org/W2151103935","https://openalex.org/W2152671441","https://openalex.org/W2155562184","https://openalex.org/W2391991949","https://openalex.org/W3211330693"],"related_works":["https://openalex.org/W2354405555","https://openalex.org/W1788951353","https://openalex.org/W2394401234","https://openalex.org/W1980288542","https://openalex.org/W1964373293","https://openalex.org/W3167112424","https://openalex.org/W4393378938","https://openalex.org/W1976104533","https://openalex.org/W3005250375","https://openalex.org/W7125570808"],"abstract_inverted_index":{"The":[0],"scale":[1,28],"invariant":[2],"feature":[3,44],"transform(SIFT)algorithm":[4],"has":[5],"the":[6,22,34,38,41,43,50,54,57,64,72],"problem":[7],"of":[8,52],"computational":[9,78],"inefficiency":[10],"and":[11,26,56,80],"mismatch.Therefor,a":[12],"prior":[13],"information":[14],"constrained":[15],"SIFT":[16],"matching":[17,60,81],"algorithm":[18,74],"is":[19,30,46,61],"proposed":[20,73],"for":[21],"visual":[23],"simultaneous":[24],"localization":[25],"mapping(vSLAM)applications.Firstly,the":[27],"space":[29],"predicted":[31,65],"according":[32,48],"to":[33,40,49],"relative":[35],"distance":[36],"from":[37],"robot":[39,55],"feature.Then":[42],"position":[45],"estimated":[47],"state":[51],"both":[53],"feature.Finally,":[58],"sift":[59],"conducted":[62],"within":[63],"image":[66],"region.The":[67],"experiment":[68],"results":[69],"show":[70],"that":[71],"can":[75],"achieve":[76],"better":[77],"efficiency":[79],"performance.":[82]},"counts_by_year":[],"updated_date":"2026-09-29T14:09:16.559479","created_date":"2016-06-24T00:00:00"}