{"id":"https://openalex.org/W2089375281","doi":"https://doi.org/10.1109/icawst.2014.6981828","title":"Tile coding based camera modeling for 3D sensing","display_name":"Tile coding based camera modeling for 3D sensing","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2089375281","doi":"https://doi.org/10.1109/icawst.2014.6981828","mag":"2089375281"},"language":"en","primary_location":{"id":"doi:10.1109/icawst.2014.6981828","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icawst.2014.6981828","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 6th International Conference on Awareness Science and Technology (iCAST)","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/A5017591243","display_name":"Toshihiko Watanabe","orcid":"https://orcid.org/0000-0003-4096-4990"},"institutions":[{"id":"https://openalex.org/I189513530","display_name":"Osaka Electro-Communication University","ror":"https://ror.org/056bksm23","country_code":"JP","type":"education","lineage":["https://openalex.org/I189513530"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshihiko Watanabe","raw_affiliation_strings":["Graduate School of Engineering, Osaka Electro-Communication University, Neyagawa, Japan","[Graduate School of Engineering, Osaka Electro Communication University, Neyagawa, Japan]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Osaka Electro-Communication University, Neyagawa, Japan","institution_ids":["https://openalex.org/I189513530"]},{"raw_affiliation_string":"[Graduate School of Engineering, Osaka Electro Communication University, Neyagawa, Japan]","institution_ids":["https://openalex.org/I189513530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102745697","display_name":"Yuichi Saito","orcid":"https://orcid.org/0000-0002-6264-7075"},"institutions":[{"id":"https://openalex.org/I189513530","display_name":"Osaka Electro-Communication University","ror":"https://ror.org/056bksm23","country_code":"JP","type":"education","lineage":["https://openalex.org/I189513530"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuichi Saito","raw_affiliation_strings":["Graduate School of Engineering, Osaka Electro-Communication University, Neyagawa, Japan","[Graduate School of Engineering, Osaka Electro Communication University, Neyagawa, Japan]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Osaka Electro-Communication University, Neyagawa, Japan","institution_ids":["https://openalex.org/I189513530"]},{"raw_affiliation_string":"[Graduate School of Engineering, Osaka Electro Communication University, Neyagawa, Japan]","institution_ids":["https://openalex.org/I189513530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043553147","display_name":"Takeshi Kamai","orcid":null},"institutions":[{"id":"https://openalex.org/I189513530","display_name":"Osaka Electro-Communication University","ror":"https://ror.org/056bksm23","country_code":"JP","type":"education","lineage":["https://openalex.org/I189513530"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takeshi Kamai","raw_affiliation_strings":["Graduate School of Engineering, Osaka Electro-Communication University, Neyagawa, Japan","[Graduate School of Engineering, Osaka Electro Communication University, Neyagawa, Japan]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Osaka Electro-Communication University, Neyagawa, Japan","institution_ids":["https://openalex.org/I189513530"]},{"raw_affiliation_string":"[Graduate School of Engineering, Osaka Electro Communication University, Neyagawa, Japan]","institution_ids":["https://openalex.org/I189513530"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019851254","display_name":"Tomoki Ishimaru","orcid":null},"institutions":[{"id":"https://openalex.org/I189513530","display_name":"Osaka Electro-Communication University","ror":"https://ror.org/056bksm23","country_code":"JP","type":"education","lineage":["https://openalex.org/I189513530"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomoki Ishimaru","raw_affiliation_strings":["Graduate School of Engineering, Osaka Electro-Communication University, Neyagawa, Japan","[Graduate School of Engineering, Osaka Electro Communication University, Neyagawa, Japan]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Osaka Electro-Communication University, Neyagawa, Japan","institution_ids":["https://openalex.org/I189513530"]},{"raw_affiliation_string":"[Graduate School of Engineering, Osaka Electro Communication University, Neyagawa, Japan]","institution_ids":["https://openalex.org/I189513530"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2472,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6142791,"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":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9997000098228455,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9997000098228455,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9994999766349792,"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":0.9991000294685364,"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/computer-vision","display_name":"Computer vision","score":0.7154090404510498},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7121700048446655},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6756623983383179},{"id":"https://openalex.org/keywords/tile","display_name":"Tile","score":0.6176342368125916},{"id":"https://openalex.org/keywords/camera-auto-calibration","display_name":"Camera auto-calibration","score":0.5509976148605347},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5411059856414795},{"id":"https://openalex.org/keywords/stereo-camera","display_name":"Stereo camera","score":0.497252494096756},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.48469164967536926},{"id":"https://openalex.org/keywords/camera-matrix","display_name":"Camera matrix","score":0.4692136347293854},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.46175098419189453},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.44262003898620605},{"id":"https://openalex.org/keywords/camera-resectioning","display_name":"Camera resectioning","score":0.3856697082519531},{"id":"https://openalex.org/keywords/pinhole-camera-model","display_name":"Pinhole camera model","score":0.37179863452911377},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3280688524246216},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2772250771522522},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15995556116104126}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7154090404510498},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7121700048446655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6756623983383179},{"id":"https://openalex.org/C2780728851","wikidata":"https://www.wikidata.org/wiki/Q468402","display_name":"Tile","level":2,"score":0.6176342368125916},{"id":"https://openalex.org/C94816000","wikidata":"https://www.wikidata.org/wiki/Q5026006","display_name":"Camera auto-calibration","level":3,"score":0.5509976148605347},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5411059856414795},{"id":"https://openalex.org/C185078393","wikidata":"https://www.wikidata.org/wiki/Q313783","display_name":"Stereo camera","level":2,"score":0.497252494096756},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.48469164967536926},{"id":"https://openalex.org/C679329","wikidata":"https://www.wikidata.org/wiki/Q5026015","display_name":"Camera matrix","level":5,"score":0.4692136347293854},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.46175098419189453},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.44262003898620605},{"id":"https://openalex.org/C110898773","wikidata":"https://www.wikidata.org/wiki/Q2933935","display_name":"Camera resectioning","level":2,"score":0.3856697082519531},{"id":"https://openalex.org/C199996500","wikidata":"https://www.wikidata.org/wiki/Q14369636","display_name":"Pinhole camera model","level":4,"score":0.37179863452911377},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3280688524246216},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2772250771522522},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15995556116104126},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icawst.2014.6981828","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icawst.2014.6981828","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 6th International Conference on Awareness Science and Technology (iCAST)","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":8,"referenced_works":["https://openalex.org/W1601079008","https://openalex.org/W1969240188","https://openalex.org/W2033819227","https://openalex.org/W2068409867","https://openalex.org/W2121863487","https://openalex.org/W2167667767","https://openalex.org/W3021282624","https://openalex.org/W4214717370"],"related_works":["https://openalex.org/W227461850","https://openalex.org/W2118427684","https://openalex.org/W42909716","https://openalex.org/W2096059205","https://openalex.org/W2658949336","https://openalex.org/W1973271280","https://openalex.org/W2321086849","https://openalex.org/W2089184644","https://openalex.org/W2018226387","https://openalex.org/W2059940665"],"abstract_inverted_index":{"Recently,":[0],"the":[1,29,64,70,80,90,96,104,108,132,137,142,147],"3D":[2,49,120,123],"sensing":[3,50,61,124],"technique":[4,47],"using":[5],"optical":[6,74],"devices":[7],"such":[8,18,151],"as":[9,19,152],"multiple":[10],"cameras":[11],"has":[12],"been":[13],"applied":[14,88],"to":[15,68,94,110,117],"various":[16],"areas":[17],"visualization,":[20],"motion":[21],"capturing,":[22],"and":[23,63,156],"so":[24],"on.":[25],"However,":[26],"improvement":[27],"of":[28,107,126],"camera":[30,45,65,71,97,114],"model":[31,72,139,155],"structure":[32,93],"is":[33,66,86],"indispensible":[34],"for":[35,48,102],"more":[36],"precise":[37],"measurement.":[38],"In":[39,77],"this":[40],"study,":[41],"we":[42,135],"propose":[43],"a":[44,60],"modeling":[46,143,149],"based":[51,130],"on":[52,131],"tile":[53,92],"coding":[54],"(CMAC)":[55],"structure.":[56],"A":[57],"distance":[58],"between":[59],"target":[62],"used":[67],"construct":[69],"considering":[73,89],"projection":[75,112],"characteristics.":[76],"our":[78],"approach,":[79,134],"least":[81],"mean":[82],"square":[83],"error":[84],"method":[85],"successfully":[87],"simple":[91],"formulate":[95],"model.":[98,159],"Then":[99],"iterative":[100],"calculations":[101],"solving":[103],"inverse":[105],"problem":[106],"3-D":[109],"2-D":[111],"by":[113],"are":[115],"performed":[116],"attain":[118],"measured":[119],"coordinates.":[121],"Through":[122],"experiments":[125],"stereo":[127],"vision":[128],"measurement":[129],"proposed":[133,138],"showed":[136],"drastically":[140],"improved":[141],"performance":[144],"compared":[145],"with":[146],"conventional":[148],"approach":[150],"Open":[153],"CV":[154],"crisp":[157],"partitioned":[158]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}