{"id":"https://openalex.org/W2114695246","doi":"https://doi.org/10.1109/cvpr.2012.6247683","title":"Optimal integration of photometric and geometric surface measurements using inaccurate reflectance/illumination knowledge","display_name":"Optimal integration of photometric and geometric surface measurements using inaccurate reflectance/illumination knowledge","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2114695246","doi":"https://doi.org/10.1109/cvpr.2012.6247683","mag":"2114695246"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2012.6247683","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247683","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","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/A5051833199","display_name":"T. Okatani","orcid":null},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"T. Okatani","raw_affiliation_strings":["University of Tohoku, Japan","Tohoku University, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tohoku, Japan","institution_ids":[]},{"raw_affiliation_string":"Tohoku University, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005911442","display_name":"K. Deguchi","orcid":null},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"K. Deguchi","raw_affiliation_strings":["University of Tohoku, Japan","Tohoku University, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tohoku, Japan","institution_ids":[]},{"raw_affiliation_string":"Tohoku University, Japan","institution_ids":["https://openalex.org/I201537933"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5051833199"],"corresponding_institution_ids":["https://openalex.org/I201537933"],"apc_list":null,"apc_paid":null,"fwci":1.6473,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.86167129,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"32","issue":null,"first_page":"254","last_page":"261"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10638","display_name":"Optical measurement and interference techniques","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"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9984999895095825,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/photometric-stereo","display_name":"Photometric stereo","score":0.766599178314209},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.693548321723938},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.6775833964347839},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.5976448059082031},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5899145603179932},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5786502361297607},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.5783581733703613},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5771057605743408},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5541300177574158},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5112097263336182},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4972062408924103},{"id":"https://openalex.org/keywords/normal","display_name":"Normal","score":0.45543915033340454},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.33135277032852173},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.3118517994880676},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27501070499420166},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.18699243664741516},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.13983723521232605},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11647358536720276}],"concepts":[{"id":"https://openalex.org/C44365914","wikidata":"https://www.wikidata.org/wiki/Q17120636","display_name":"Photometric stereo","level":3,"score":0.766599178314209},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.693548321723938},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.6775833964347839},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.5976448059082031},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5899145603179932},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5786502361297607},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.5783581733703613},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5771057605743408},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5541300177574158},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5112097263336182},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4972062408924103},{"id":"https://openalex.org/C118732077","wikidata":"https://www.wikidata.org/wiki/Q273176","display_name":"Normal","level":3,"score":0.45543915033340454},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33135277032852173},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.3118517994880676},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27501070499420166},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.18699243664741516},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.13983723521232605},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11647358536720276},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2012.6247683","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247683","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1506902333","https://openalex.org/W1555809970","https://openalex.org/W1604674053","https://openalex.org/W1975089519","https://openalex.org/W1975931458","https://openalex.org/W1986024259","https://openalex.org/W2019661178","https://openalex.org/W2028401795","https://openalex.org/W2045932639","https://openalex.org/W2060871536","https://openalex.org/W2066783269","https://openalex.org/W2077989878","https://openalex.org/W2085783904","https://openalex.org/W2092352808","https://openalex.org/W2092427846","https://openalex.org/W2097261533","https://openalex.org/W2106687120","https://openalex.org/W2112199356","https://openalex.org/W2116599779","https://openalex.org/W2117035055","https://openalex.org/W2124805725","https://openalex.org/W2128221187","https://openalex.org/W2137467304","https://openalex.org/W2137813581","https://openalex.org/W2141562793","https://openalex.org/W2141930090","https://openalex.org/W2143181226","https://openalex.org/W2146641618","https://openalex.org/W2165192967","https://openalex.org/W2165749022","https://openalex.org/W2167852373","https://openalex.org/W6636309663","https://openalex.org/W6672015863","https://openalex.org/W6674709851","https://openalex.org/W6680836401"],"related_works":["https://openalex.org/W2013258419","https://openalex.org/W2033176506","https://openalex.org/W2071501285","https://openalex.org/W4223522845","https://openalex.org/W3003300666","https://openalex.org/W13266374","https://openalex.org/W2504044873","https://openalex.org/W4377836502","https://openalex.org/W2038078979","https://openalex.org/W3123181577"],"abstract_inverted_index":{"In":[0],"this":[1,90],"paper,":[2],"we":[3,92],"present":[4,125],"a":[5,68],"method":[6],"for":[7],"accurately":[8,55],"estimating":[9],"the":[10,17,25,38,41,45,49,58,73,76,82,96,103,130,133],"shape":[11,105],"of":[12,40,48,75,85,132],"an":[13,113],"object":[14,104],"by":[15,21,28,121],"integrating":[16,95],"surface":[18,59,97],"orientation":[19,52,98],"measured":[20,27,51],"photometric":[22],"stereo":[23],"and":[24,78,99,116],"position":[26,100],"some":[29],"range-measuring":[30],"method.":[31],"We":[32,66,124],"first":[33,46],"show":[34],"that":[35],"even":[36],"if":[37],"knowledge":[39,77],"reflectance/illumination":[42],"is":[43,118],"inaccurate,":[44],"derivatives":[47],"photometrically":[50],"can":[53],"be":[54],"estimated":[56],"at":[57],"points":[60],"where":[61],"they":[62],"have":[63],"small":[64],"values.":[65],"propose":[67],"probabilistic":[69],"framework":[70],"to":[71,81,101,112],"quantitate":[72],"(in)accuracy":[74],"connect":[79],"it":[80,117],"estimation":[83],"accuracy":[84],"these":[86],"derivatives.":[87],"Based":[88],"on":[89],"framework,":[91],"consider":[93],"optimally":[94],"obtain":[102],"with":[106],"higher":[107],"accuracy.":[108],"The":[109],"integration":[110],"reduces":[111],"optimization":[114],"problem,":[115],"efficiently":[119],"solved":[120],"belief":[122],"propagation.":[123],"several":[126],"experimental":[127],"results":[128],"showing":[129],"effectiveness":[131],"proposed":[134],"approach.":[135]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
