{"id":"https://openalex.org/W2159756994","doi":"https://doi.org/10.1109/ismar.2007.4538854","title":"A Fast Initialization Method for Edge-based Registration Using an Inclination Constraint","display_name":"A Fast Initialization Method for Edge-based Registration Using an Inclination Constraint","publication_year":2007,"publication_date":"2007-11-01","ids":{"openalex":"https://openalex.org/W2159756994","doi":"https://doi.org/10.1109/ismar.2007.4538854","mag":"2159756994"},"language":"en","primary_location":{"id":"doi:10.1109/ismar.2007.4538854","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ismar.2007.4538854","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality","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/A5045703358","display_name":"Daisuke Kotake","orcid":null},"institutions":[{"id":"https://openalex.org/I1320697193","display_name":"Canon (Japan)","ror":"https://ror.org/05gg0gh87","country_code":"JP","type":"company","lineage":["https://openalex.org/I1320697193"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Daisuke Kotake","raw_affiliation_strings":["Human Machine Perception Laboratory, Canon, Inc., Ohta, Tokyo, Japan","Human Machine Perception Laboratory, Canon Inc., 3-30-2 Shimomaruko, Ohta-ku, Tokyo 146-8501 JAPAN. e-mail: kotake.daisuke@canon.co.jp"],"affiliations":[{"raw_affiliation_string":"Human Machine Perception Laboratory, Canon, Inc., Ohta, Tokyo, Japan","institution_ids":["https://openalex.org/I1320697193"]},{"raw_affiliation_string":"Human Machine Perception Laboratory, Canon Inc., 3-30-2 Shimomaruko, Ohta-ku, Tokyo 146-8501 JAPAN. e-mail: kotake.daisuke@canon.co.jp","institution_ids":["https://openalex.org/I1320697193"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030643434","display_name":"Kiyohide Satoh","orcid":null},"institutions":[{"id":"https://openalex.org/I1320697193","display_name":"Canon (Japan)","ror":"https://ror.org/05gg0gh87","country_code":"JP","type":"company","lineage":["https://openalex.org/I1320697193"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kiyohide Satoh","raw_affiliation_strings":["Human Machine Perception Laboratory, Canon, Inc., Ohta, Tokyo, Japan","Human Machine Perception Laboratory, Canon Inc., 3-30-2 Shimomaruko, Ohta-ku, Tokyo 146-8501 JAPAN. e-mail: sato.kiyohide@canon.co.jp#TAB#"],"affiliations":[{"raw_affiliation_string":"Human Machine Perception Laboratory, Canon, Inc., Ohta, Tokyo, Japan","institution_ids":["https://openalex.org/I1320697193"]},{"raw_affiliation_string":"Human Machine Perception Laboratory, Canon Inc., 3-30-2 Shimomaruko, Ohta-ku, Tokyo 146-8501 JAPAN. e-mail: sato.kiyohide@canon.co.jp#TAB#","institution_ids":["https://openalex.org/I1320697193"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067217010","display_name":"Shinji Uchiyama","orcid":null},"institutions":[{"id":"https://openalex.org/I1320697193","display_name":"Canon (Japan)","ror":"https://ror.org/05gg0gh87","country_code":"JP","type":"company","lineage":["https://openalex.org/I1320697193"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shinji Uchiyama","raw_affiliation_strings":["Human Machine Perception Laboratory, Canon, Inc., Ohta, Tokyo, Japan","Human Machine Perception Laboratory, Canon Inc., 3-30-2 Shimomaruko, Ohta-ku, Tokyo 146-8501 JAPAN. e-mail: uchiyama.shinji@canon.co.jp"],"affiliations":[{"raw_affiliation_string":"Human Machine Perception Laboratory, Canon, Inc., Ohta, Tokyo, Japan","institution_ids":["https://openalex.org/I1320697193"]},{"raw_affiliation_string":"Human Machine Perception Laboratory, Canon Inc., 3-30-2 Shimomaruko, Ohta-ku, Tokyo 146-8501 JAPAN. e-mail: uchiyama.shinji@canon.co.jp","institution_ids":["https://openalex.org/I1320697193"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069968116","display_name":"Hiroyuki Yamamoto","orcid":"https://orcid.org/0000-0002-5268-4606"},"institutions":[{"id":"https://openalex.org/I1320697193","display_name":"Canon (Japan)","ror":"https://ror.org/05gg0gh87","country_code":"JP","type":"company","lineage":["https://openalex.org/I1320697193"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroyuki Yamamoto","raw_affiliation_strings":["Human Machine Perception Laboratory, Canon, Inc., Ohta, Tokyo, Japan","Human Machine Perception Laboratory, Canon Inc., 3-30-2 Shimomaruko, Ohta-ku, Tokyo 146-8501 JAPAN. e-mail: yamamoto.hiroyuki125@canon.co.jp#TAB#"],"affiliations":[{"raw_affiliation_string":"Human Machine Perception Laboratory, Canon, Inc., Ohta, Tokyo, Japan","institution_ids":["https://openalex.org/I1320697193"]},{"raw_affiliation_string":"Human Machine Perception Laboratory, Canon Inc., 3-30-2 Shimomaruko, Ohta-ku, Tokyo 146-8501 JAPAN. e-mail: yamamoto.hiroyuki125@canon.co.jp#TAB#","institution_ids":["https://openalex.org/I1320697193"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5045703358"],"corresponding_institution_ids":["https://openalex.org/I1320697193"],"apc_list":null,"apc_paid":null,"fwci":56.6032,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.99570237,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"107","issue":"427","first_page":"1","last_page":"10"},"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":0.9994999766349792,"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"}},{"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"}}],"keywords":[{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.8441464900970459},{"id":"https://openalex.org/keywords/azimuth","display_name":"Azimuth","score":0.8388199806213379},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7832283973693848},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7692131996154785},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7201090455055237},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.6342082023620605},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5511427521705627},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5096311569213867},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.46962669491767883},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.44754377007484436},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.43466493487358093},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.4115397036075592},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1994614601135254}],"concepts":[{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.8441464900970459},{"id":"https://openalex.org/C159737794","wikidata":"https://www.wikidata.org/wiki/Q124274","display_name":"Azimuth","level":2,"score":0.8388199806213379},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7832283973693848},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7692131996154785},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7201090455055237},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6342082023620605},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5511427521705627},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5096311569213867},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.46962669491767883},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.44754377007484436},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.43466493487358093},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.4115397036075592},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1994614601135254},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ismar.2007.4538854","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ismar.2007.4538854","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality","raw_type":"proceedings-article"},{"id":"mag:2915974997","is_oa":false,"landing_page_url":"https://www.ieice.org/ken/paper/20080117KabA/eng/","pdf_url":null,"source":{"id":"https://openalex.org/S4306512848","display_name":"IEICE Technical Report; IEICE Tech. Rep.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEICE Technical Report; IEICE Tech. Rep.","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"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":30,"referenced_works":["https://openalex.org/W2030480533","https://openalex.org/W2061246543","https://openalex.org/W2097898111","https://openalex.org/W2099969393","https://openalex.org/W2100486173","https://openalex.org/W2111589119","https://openalex.org/W2113785214","https://openalex.org/W2120232155","https://openalex.org/W2121985953","https://openalex.org/W2122480881","https://openalex.org/W2123537152","https://openalex.org/W2129802333","https://openalex.org/W2131806657","https://openalex.org/W2133792735","https://openalex.org/W2139634892","https://openalex.org/W2143383760","https://openalex.org/W2145023731","https://openalex.org/W2145397129","https://openalex.org/W2146815978","https://openalex.org/W2153326665","https://openalex.org/W2158890580","https://openalex.org/W2162899364","https://openalex.org/W2166185062","https://openalex.org/W2166212176","https://openalex.org/W2725377258","https://openalex.org/W3040777582","https://openalex.org/W4249094532","https://openalex.org/W6665684405","https://openalex.org/W6681611829","https://openalex.org/W6987022227"],"related_works":["https://openalex.org/W3176564347","https://openalex.org/W3031039437","https://openalex.org/W3204184292","https://openalex.org/W1985458517","https://openalex.org/W2355833770","https://openalex.org/W3006474185","https://openalex.org/W3101398262","https://openalex.org/W3095877357","https://openalex.org/W2088028039","https://openalex.org/W2536898772"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,29],"hybrid":[3],"camera":[4,24,38,67,76,96],"pose":[5,25,68,97],"estimation":[6],"method":[7,31,86,124,134],"using":[8,98],"an":[9,33,107,139],"inclination":[10,34],"sensor":[11],"value":[12],"and":[13,78,125],"correspondence-free":[14],"line":[15,50],"segments.":[16],"In":[17],"this":[18],"method,":[19],"possible":[20,42],"azimuths":[21],"of":[22,70,74,110,122],"the":[23,48,56,59,66,71,75,95,120,123,133],"are":[26,44],"hypothesized":[27],"by":[28],"voting":[30],"under":[32],"constraint.":[35],"Then":[36],"some":[37],"positions":[39,77],"for":[40,55,106],"each":[41],"azimuth":[43],"calculated":[45],"based":[46],"on":[47],"detected":[49],"segments":[51],"that":[52],"affirmatively":[53],"voted":[54],"azimuth.":[57],"Finally,":[58],"most":[60],"consistent":[61],"one":[62],"is":[63,104,135],"selected":[64],"as":[65],"out":[69],"multiple":[72],"sets":[73],"azimuths.":[79],"Unlike":[80],"many":[81],"other":[82],"tracking":[83],"methods,":[84],"our":[85],"does":[87],"not":[88],"use":[89],"past":[90],"information":[91],"but":[92],"rather":[93],"estimates":[94],"only":[99],"present":[100],"information.":[101],"This":[102,117],"feature":[103],"useful":[105],"initialization":[108],"measure":[109],"registration":[111],"in":[112,131,138],"augmented":[113],"reality":[114],"(AR)":[115],"systems.":[116],"paper":[118],"describes":[119],"details":[121],"shows":[126],"its":[127],"effectiveness":[128],"with":[129],"experiments":[130],"which":[132],"actually":[136],"used":[137],"AR":[140],"application.":[141]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}