{"id":"https://openalex.org/W2294617039","doi":"https://doi.org/10.1109/icip.2015.7350996","title":"Motion estimation for non-overlapping cameras by improvement of feature points matching based on urban 3D structure","display_name":"Motion estimation for non-overlapping cameras by improvement of feature points matching based on urban 3D structure","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2294617039","doi":"https://doi.org/10.1109/icip.2015.7350996","mag":"2294617039"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7350996","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7350996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","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/A5067683481","display_name":"Atsushi Kawasaki","orcid":null},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Atsushi Kawasaki","raw_affiliation_strings":["Graduate School of Science and Technology Keio University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology Keio University, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005819073","display_name":"Hideo Sait\u00f4","orcid":"https://orcid.org/0000-0002-2421-9862"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hideo Saito","raw_affiliation_strings":["Graduate School of Science and Technology Keio University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology Keio University, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029779344","display_name":"Kosuke O. Hara","orcid":"https://orcid.org/0000-0001-6463-6540"},"institutions":[{"id":"https://openalex.org/I67530263","display_name":"Denso (United States)","ror":"https://ror.org/02w314k38","country_code":"US","type":"company","lineage":["https://openalex.org/I4210132650","https://openalex.org/I67530263"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kosuke Hara","raw_affiliation_strings":["Denso IT Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Denso IT Laboratory","institution_ids":["https://openalex.org/I67530263"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7822,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85874202,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1230","last_page":"1234"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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":0.9995999932289124,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8149054646492004},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7842512726783752},{"id":"https://openalex.org/keywords/image-warping","display_name":"Image warping","score":0.7814819812774658},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7195206880569458},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6651538014411926},{"id":"https://openalex.org/keywords/bundle-adjustment","display_name":"Bundle adjustment","score":0.6547168493270874},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6049216389656067},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.5357993841171265},{"id":"https://openalex.org/keywords/feature-matching","display_name":"Feature matching","score":0.5277507901191711},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.5155575275421143},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44955241680145264},{"id":"https://openalex.org/keywords/visual-odometry","display_name":"Visual odometry","score":0.419231116771698},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38588619232177734},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29254812002182007},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19676244258880615},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.1761409342288971}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8149054646492004},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7842512726783752},{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.7814819812774658},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7195206880569458},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6651538014411926},{"id":"https://openalex.org/C179458375","wikidata":"https://www.wikidata.org/wiki/Q1020763","display_name":"Bundle adjustment","level":3,"score":0.6547168493270874},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6049216389656067},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.5357993841171265},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.5277507901191711},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.5155575275421143},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44955241680145264},{"id":"https://openalex.org/C5799516","wikidata":"https://www.wikidata.org/wiki/Q4110915","display_name":"Visual odometry","level":3,"score":0.419231116771698},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38588619232177734},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29254812002182007},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19676244258880615},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.1761409342288971},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2015.7350996","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7350996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1677409904","https://openalex.org/W1765141538","https://openalex.org/W1977757069","https://openalex.org/W1986556718","https://openalex.org/W1999695104","https://openalex.org/W2024740138","https://openalex.org/W2035379092","https://openalex.org/W2085844081","https://openalex.org/W2096145515","https://openalex.org/W2100388501","https://openalex.org/W2102271310","https://openalex.org/W2118341165","https://openalex.org/W2135887870","https://openalex.org/W2140965591","https://openalex.org/W2152671441"],"related_works":["https://openalex.org/W2347413598","https://openalex.org/W2330863229","https://openalex.org/W2084446318","https://openalex.org/W71572444","https://openalex.org/W1997383766","https://openalex.org/W2154472250","https://openalex.org/W2350336482","https://openalex.org/W2003315864","https://openalex.org/W4200491918","https://openalex.org/W2907649844"],"abstract_inverted_index":{"We":[0,59,78,120],"propose":[1,60],"a":[2,8,46,54,61],"method":[3],"of":[4,28,57,87],"ego-motion":[5,30],"estimation":[6,136],"for":[7,115],"self-driving":[9],"vehicle":[10],"using":[11],"multiple":[12],"cameras.":[13],"By":[14],"finding":[15],"corresponding":[16,117],"points":[17],"between":[18],"the":[19,26,29,34,44,85,92,95,106,110,116,125,130],"multi-camera":[20],"images,":[21],"we":[22,103],"aim":[23],"to":[24,43,124,128,140],"enhance":[25],"accuracy":[27,137],"estimation.":[31],"However":[32],"since":[33],"viewing":[35],"directions":[36],"are":[37,113],"very":[38],"different":[39,71],"from":[40],"one":[41],"camera":[42],"other,":[45],"conventional":[47],"algorithm":[48,64],"such":[49],"as":[50],"SURF":[51],"cannot":[52],"detect":[53],"sufficient":[55],"number":[56],"correspondences.":[58],"novel":[62],"matching":[63,142],"by":[65],"warping":[66],"feature":[67,96,111,118],"patches":[68,107],"detected":[69,81],"in":[70],"cameras":[72],"based":[73],"on":[74,84,100],"urban":[75],"3D":[76],"structure.":[77],"assume":[79],"that":[80,109],"features":[82],"exist":[83],"surface":[86],"buildings":[88],"or":[89],"roads":[90],"and":[91],"patch":[93],"around":[94],"is":[97],"planar.":[98],"Based":[99],"this":[101],"assumption,":[102],"can":[104],"warp":[105],"so":[108],"descriptors":[112],"similar":[114],"points.":[119],"apply":[121],"Bundle":[122],"Adjustment":[123],"found":[126],"correspondences":[127],"optimizes":[129],"odometry.":[131],"The":[132],"result":[133],"shows":[134],"higher":[135],"when":[138],"compared":[139],"other":[141],"method.":[143]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}