{"id":"https://openalex.org/W4377985280","doi":"https://doi.org/10.2352/cic.2014.22.1.art00015","title":"An image based multi-angle method for estimating reflection geometries of flexible objects","display_name":"An image based multi-angle method for estimating reflection geometries of flexible objects","publication_year":2014,"publication_date":"2014-11-03","ids":{"openalex":"https://openalex.org/W4377985280","doi":"https://doi.org/10.2352/cic.2014.22.1.art00015"},"language":"en","primary_location":{"id":"doi:10.2352/cic.2014.22.1.art00015","is_oa":true,"landing_page_url":"https://doi.org/10.2352/cic.2014.22.1.art00015","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/cic/22/1/art00015","source":{"id":"https://openalex.org/S4210193667","display_name":"Color and Imaging Conference","issn_l":"2166-9635","issn":["2166-9635","2169-2629"],"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Color and Imaging Conference","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/cic/22/1/art00015","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083910492","display_name":"Aditya Suneel Sole","orcid":"https://orcid.org/0000-0002-7916-5363"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Aditya Sole","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005627523","display_name":"Ivar Farup","orcid":"https://orcid.org/0000-0003-3473-1138"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ivar Farup","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5039844630","display_name":"Shoji Tominaga","orcid":"https://orcid.org/0000-0001-6460-7694"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shoji Tominaga","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5083910492"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3617,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.72922125,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"22","issue":"1","first_page":"91","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12564","display_name":"Sensor Technology and Measurement Systems","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12564","display_name":"Sensor Technology and Measurement Systems","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12019","display_name":"Calibration and Measurement Techniques","score":0.9812999963760376,"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/T11666","display_name":"Color Science and Applications","score":0.9722999930381775,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.7219659090042114},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.6460108757019043},{"id":"https://openalex.org/keywords/reflection","display_name":"Reflection (computer programming)","score":0.6284352540969849},{"id":"https://openalex.org/keywords/ray","display_name":"Ray","score":0.5689021348953247},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5675410628318787},{"id":"https://openalex.org/keywords/spectrometer","display_name":"Spectrometer","score":0.5464264154434204},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4920892119407654},{"id":"https://openalex.org/keywords/planar","display_name":"Planar","score":0.4843672215938568},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45498883724212646},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.44991254806518555},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.42884787917137146},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.3973883390426636},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3541228473186493},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.19438153505325317},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.179956316947937},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.13702592253684998},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1342751681804657}],"concepts":[{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.7219659090042114},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.6460108757019043},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.6284352540969849},{"id":"https://openalex.org/C182610534","wikidata":"https://www.wikidata.org/wiki/Q633620","display_name":"Ray","level":2,"score":0.5689021348953247},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5675410628318787},{"id":"https://openalex.org/C33390570","wikidata":"https://www.wikidata.org/wiki/Q188463","display_name":"Spectrometer","level":2,"score":0.5464264154434204},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4920892119407654},{"id":"https://openalex.org/C134786449","wikidata":"https://www.wikidata.org/wiki/Q3391255","display_name":"Planar","level":2,"score":0.4843672215938568},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45498883724212646},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.44991254806518555},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.42884787917137146},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.3973883390426636},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3541228473186493},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.19438153505325317},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.179956316947937},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.13702592253684998},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1342751681804657},{"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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/cic.2014.22.1.art00015","is_oa":true,"landing_page_url":"https://doi.org/10.2352/cic.2014.22.1.art00015","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/cic/22/1/art00015","source":{"id":"https://openalex.org/S4210193667","display_name":"Color and Imaging Conference","issn_l":"2166-9635","issn":["2166-9635","2169-2629"],"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Color and Imaging Conference","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.2352/cic.2014.22.1.art00015","is_oa":true,"landing_page_url":"https://doi.org/10.2352/cic.2014.22.1.art00015","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/cic/22/1/art00015","source":{"id":"https://openalex.org/S4210193667","display_name":"Color and Imaging Conference","issn_l":"2166-9635","issn":["2166-9635","2169-2629"],"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Color and Imaging Conference","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4377985280.pdf","grobid_xml":"https://content.openalex.org/works/W4377985280.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W256685106","https://openalex.org/W2529526490","https://openalex.org/W4244513755","https://openalex.org/W4210280298","https://openalex.org/W2065792876","https://openalex.org/W2065686537","https://openalex.org/W2944239605","https://openalex.org/W2139783875","https://openalex.org/W1873415836","https://openalex.org/W4312469487"],"abstract_inverted_index":{"Gonio-spectrometers":[0],"and":[1,17,23,26,43,50,54,73,121,167,178,203,207,219,240,245],"multi-angle":[2,9,67],"spectrophotometers":[3],"are":[4],"successfully":[5],"used":[6,19,84,159,188],"for":[7,60,190,236],"performing":[8],"measurements":[10,198],"of":[11,37,164,210],"non-diffuse":[12],"materials":[13,214],"like":[14],"metallic":[15],"inks":[16],"paints":[18],"in":[20,58,108],"the":[21,35,102,106,109,118,131,137,141,146,151,162,175,205,222,232,237,242],"print":[22],"packaging":[24,192],"industry":[25],"car":[27],"paint":[28],"industry.":[29],"Using":[30],"a":[31,47,78,126,170],"gonio-spectrometer":[32],"to":[33,65,91,145,160,194],"measure":[34,92],"amount":[36,163],"light":[38,103,165,217],"reflected":[39,104,168,220],"at":[40,70,125,224],"different":[41,225],"incident":[42,119,166,206,218,243],"reflection":[44,122,208,246],"angles":[45,124,209,248],"is":[46,55],"time":[48],"consuming":[49],"an":[51,86],"expensive":[52],"process":[53,202],"mainly":[56],"performed":[57],"laboratories":[59],"research":[61],"purposes.":[62],"In":[63],"order":[64],"perform":[66,195],"planar":[68],"measurements,":[69],"relatively":[71],"cheaper":[72],"faster":[74],"way,":[75],"we":[76],"use":[77],"geometrical":[79,115,233,238],"method":[80,116,234],"which":[81],"can":[82,156,186],"be":[83,158,187],"with":[85],"image":[87,96],"based":[88,97],"measurement":[89,98,184],"setup":[90,99,185],"such":[93],"materials.":[94],"The":[95,114,182,227],"help":[100],"record":[101,179],"from":[105,169,221],"sample,":[107],"digital":[110],"pixel":[111,138],"array":[112,144],"sensor.":[113],"estimates":[117],"(&#xE70D;i)":[120,244],"(&#xE70D;r)":[123,247],"given":[127,171],"point":[128,148,172],"(P)":[129,149,173],"on":[130,140,150,174],"sample":[132,152,176,223],"surface.":[133,153],"It":[134],"also":[135],"maps":[136],"positions":[139],"camera":[142],"sensor":[143],"corresponding":[147],"This":[154],"information":[155],"therefore":[157],"understand":[161],"surface":[177],"it":[180],"accordingly.":[181],"proposed":[183],"in,":[189],"example":[191],"industry,":[193],"online":[196],"gonio-metric":[197],"during":[199],"material":[200],"reproduction":[201],"estimate":[204,241],"homogeneous":[211],"flexible":[212],"object":[213],"when":[215],"measuring":[216],"angles.":[226],"results":[228],"obtained":[229],"show":[230],"that":[231],"corrects":[235],"distortions":[239],"successfully.":[249]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
