{"id":"https://openalex.org/W2766742508","doi":"https://doi.org/10.1109/ismar-adjunct.2017.64","title":"[POSTER] Position Estimation of a Strongly Occluded Object by Using an Auxiliary Point Cloud in Occluded Space","display_name":"[POSTER] Position Estimation of a Strongly Occluded Object by Using an Auxiliary Point Cloud in Occluded Space","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2766742508","doi":"https://doi.org/10.1109/ismar-adjunct.2017.64","mag":"2766742508"},"language":"en","primary_location":{"id":"doi:10.1109/ismar-adjunct.2017.64","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ismar-adjunct.2017.64","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct)","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/A5026320145","display_name":"Shinichi Sumiyoshi","orcid":null},"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":true,"raw_author_name":"Shinichi Sumiyoshi","raw_affiliation_strings":["Denso IT Laboratory, Inc"],"affiliations":[{"raw_affiliation_string":"Denso IT Laboratory, Inc","institution_ids":["https://openalex.org/I67530263"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5026320145"],"corresponding_institution_ids":["https://openalex.org/I67530263"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.08496037,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"194","last_page":"199"},"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.8109391927719116},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7995222806930542},{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.7468260526657104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7337535619735718},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.7301549315452576},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6460128426551819},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.6398494243621826},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6037607192993164},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5921871662139893},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5638782978057861},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.515717089176178},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.46070730686187744},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32231995463371277},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3156964182853699},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.13649538159370422}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8109391927719116},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7995222806930542},{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.7468260526657104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7337535619735718},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.7301549315452576},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6460128426551819},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.6398494243621826},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6037607192993164},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5921871662139893},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5638782978057861},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.515717089176178},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.46070730686187744},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32231995463371277},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3156964182853699},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.13649538159370422},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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":"doi:10.1109/ismar-adjunct.2017.64","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ismar-adjunct.2017.64","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2011792403","https://openalex.org/W2102605133","https://openalex.org/W2119851068","https://openalex.org/W2160643963","https://openalex.org/W2160821342","https://openalex.org/W2162601563","https://openalex.org/W2163605009","https://openalex.org/W2303185727","https://openalex.org/W2344109021","https://openalex.org/W2403947859","https://openalex.org/W2463032559","https://openalex.org/W2464328412","https://openalex.org/W2519911873","https://openalex.org/W2567383059","https://openalex.org/W2570343428","https://openalex.org/W2575429826","https://openalex.org/W2951797970","https://openalex.org/W2963302576","https://openalex.org/W3106250896","https://openalex.org/W4407839573","https://openalex.org/W6684191040","https://openalex.org/W6726839888","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W1622964048","https://openalex.org/W30315714","https://openalex.org/W1965274140","https://openalex.org/W779885325","https://openalex.org/W2150972844","https://openalex.org/W2393615320","https://openalex.org/W3110435694","https://openalex.org/W2185145003","https://openalex.org/W2019992318","https://openalex.org/W92081101"],"abstract_inverted_index":{"A":[0],"method":[1,59,75,100,132],"is":[2],"proposed":[3,131],"for":[4,14,82],"estimation":[5,17],"of":[6,11,18,33,85,105,129],"occluded":[7,20,72,107],"space":[8,24,62],"and":[9,67,94,140],"generation":[10],"auxiliary":[12,79,96],"points":[13],"3D":[15,27,65],"position":[16,104,127],"strongly":[19],"objects.":[21],"First,":[22],"occlusion":[23],"detection":[25],"calculates":[26,60],"keypoints":[28,66],"at":[29],"the":[30,42,45,61,64,71,90,95,99,103,130],"rear":[31],"side":[32],"a":[34,39,51,116,121],"target":[35],"object,":[36],"thus":[37,119],"obtaining":[38],"silhouette":[40],"around":[41],"object":[43,56,108],"on":[44],"near":[46],"side,":[47],"as":[48,70],"found":[49],"from":[50],"camera":[52],"image":[53],"by":[54],"an":[55,78,106],"detector.":[57],"The":[58,74,125],"containing":[63],"defines":[68],"it":[69],"space.":[73,87],"then":[76],"generates":[77],"point":[80,92,97],"cloud":[81,93],"unobserved":[83],"regions":[84],"this":[86],"By":[88],"matching":[89,123],"detected":[91],"cloud,":[98],"can":[101],"estimate":[102],"that":[109],"has":[110],"been":[111],"difficult":[112],"to":[113,136],"localize":[114],"with":[115],"conventional":[117],"method,":[118],"giving":[120],"general":[122],"technique.":[124],"centroid":[126],"accuracy":[128],"was":[133],"experimentally":[134],"evaluated":[135],"demonstrate":[137],"its":[138,142],"effectiveness":[139],"confirm":[141],"validity.":[143]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
