{"id":"https://openalex.org/W3013190808","doi":"https://doi.org/10.1109/icst46873.2019.9047680","title":"Transparent Object Detection Using Single-pixel Imaging and Compressive Sensing","display_name":"Transparent Object Detection Using Single-pixel Imaging and Compressive Sensing","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3013190808","doi":"https://doi.org/10.1109/icst46873.2019.9047680","mag":"3013190808"},"language":"en","primary_location":{"id":"doi:10.1109/icst46873.2019.9047680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icst46873.2019.9047680","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 13th International Conference on Sensing Technology (ICST)","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/A5081529352","display_name":"Anumol Mathai","orcid":null},"institutions":[{"id":"https://openalex.org/I11662577","display_name":"Monash University Malaysia","ror":"https://ror.org/00yncr324","country_code":"MY","type":"education","lineage":["https://openalex.org/I11662577"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Anumol Mathai","raw_affiliation_strings":["School of Engineering, Monash University Malaysia, Selangor, Malaysia"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Monash University Malaysia, Selangor, Malaysia","institution_ids":["https://openalex.org/I11662577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100617364","display_name":"Xin Wang","orcid":"https://orcid.org/0000-0002-5854-5287"},"institutions":[{"id":"https://openalex.org/I11662577","display_name":"Monash University Malaysia","ror":"https://ror.org/00yncr324","country_code":"MY","type":"education","lineage":["https://openalex.org/I11662577"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Xin Wang","raw_affiliation_strings":["School of Engineering, Monash University Malaysia, Selangor, Malaysia"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Monash University Malaysia, Selangor, Malaysia","institution_ids":["https://openalex.org/I11662577"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027452709","display_name":"Sing Yee Chua","orcid":"https://orcid.org/0000-0001-6327-4592"},"institutions":[{"id":"https://openalex.org/I931681460","display_name":"Universiti Tunku Abdul Rahman","ror":"https://ror.org/050pq4m56","country_code":"MY","type":"education","lineage":["https://openalex.org/I931681460"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Sing Yee Chua","raw_affiliation_strings":["Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Selangor, Malaysia"],"affiliations":[{"raw_affiliation_string":"Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Selangor, Malaysia","institution_ids":["https://openalex.org/I931681460"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081529352"],"corresponding_institution_ids":["https://openalex.org/I11662577"],"apc_list":null,"apc_paid":null,"fwci":0.4837,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.56544503,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"2019","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11996","display_name":"Random lasers and scattering media","score":1.0,"subfield":{"id":"https://openalex.org/subfields/3102","display_name":"Acoustics and Ultrasonics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11996","display_name":"Random lasers and scattering media","score":1.0,"subfield":{"id":"https://openalex.org/subfields/3102","display_name":"Acoustics and Ultrasonics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/pixel","display_name":"Pixel","score":0.66798996925354},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6570860147476196},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5994716286659241},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5978919863700867},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5870341062545776},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.536155641078949},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4894465506076813},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.339245080947876},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.24123305082321167},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.18352600932121277}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.66798996925354},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6570860147476196},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5994716286659241},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5978919863700867},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5870341062545776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.536155641078949},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4894465506076813},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.339245080947876},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.24123305082321167},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18352600932121277}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icst46873.2019.9047680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icst46873.2019.9047680","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 13th International Conference on Sensing Technology (ICST)","raw_type":"proceedings-article"},{"id":"mag:3107805157","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002258227168618","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1677104097","https://openalex.org/W1936062343","https://openalex.org/W1993039222","https://openalex.org/W2027621340","https://openalex.org/W2035682670","https://openalex.org/W2058056568","https://openalex.org/W2058094631","https://openalex.org/W2096942416","https://openalex.org/W2122548617","https://openalex.org/W2122981824","https://openalex.org/W2128084987","https://openalex.org/W2128593740","https://openalex.org/W2133665775","https://openalex.org/W2147595714","https://openalex.org/W2150669666","https://openalex.org/W2169611956","https://openalex.org/W2205172244","https://openalex.org/W2901589656","https://openalex.org/W3144159205","https://openalex.org/W6756657141"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W2810730439","https://openalex.org/W4300044672","https://openalex.org/W1881631164","https://openalex.org/W2358292267","https://openalex.org/W2378166785","https://openalex.org/W1964277756","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Opaque":[0],"object":[1,19,79,126,167,180],"detection":[2,20,181,238],"and":[3,43,86,168,239],"image":[4,109,112,193],"acquisition":[5,50],"are":[6,138],"perfectly":[7],"done":[8],"with":[9,32,101,127,140,194],"the":[10,15,26,63,125,132,161,165,176,188,192,195,204],"techniques":[11],"collecting":[12,120],"reflections":[13],"from":[14,124,175,241],"object.":[16,206],"However,":[17],"transparent":[18,46,78,115,166,179],"is":[21,65,106,117,158,229],"a":[22,57,75,128,169,214],"challenge":[23],"due":[24],"to":[25,61,145,203,213,218],"complex":[27],"nature":[28],"of":[29,36,114,171,187],"light":[30,37,122],"interacting":[31],"it.":[33],"The":[34,69,152,178],"characteristics":[35],"such":[38],"as":[39],"absorption,":[40],"transmission,":[41],"reflection,":[42],"refraction":[44],"in":[45,143,191,222],"objects":[47,116],"makes":[48],"its":[49,220],"challenging.":[51],"Single-pixel":[52],"imaging":[53,216],"(SPI),":[54],"which":[55,82],"uses":[56],"single":[58],"pixel":[59],"sensor":[60],"capture":[62],"image,":[64],"an":[66],"evolving":[67],"technology.":[68],"proposed":[70],"study":[71],"focuses":[72],"on":[73,95,160],"designing":[74],"2D":[76],"single-pixel":[77,129],"inspection":[80],"system":[81,217],"utilizes":[83],"compressive":[84,242],"sensing":[85],"11":[87],"minimization":[88],"approach.":[89],"A":[90],"novel":[91],"camera":[92],"architecture":[93],"based":[94,159],"Digital":[96],"Micromirror":[97],"Device":[98],"(DMD)":[99],"along":[100],"Compressive":[102],"Sensing":[103],"(CS)":[104],"algorithm":[105,157],"adopted":[107],"for":[108,149,155],"reconstruction.":[110],"Two-dimensional":[111],"reconstruction":[113],"performed":[118],"by":[119],"transmitted":[121],"intensity":[123],"detector.":[130],"With":[131],"CS":[133,156],"algorithm,":[134],"good":[135],"quality":[136],"images":[137,197],"reconstructed":[139,196],"few":[141],"measurements":[142],"contrast":[144],"large":[146],"data":[147],"required":[148],"Nyquist":[150],"criteria.":[151],"digitized":[153],"input":[154],"inner":[162],"product":[163],"between":[164],"set":[170],"random":[172],"patterns":[173],"projected":[174],"DMD.":[177],"was":[182],"achieved":[183],"using":[184],"only":[185],"30%":[186],"total":[189],"pixels":[190],"showing":[198],"around":[199],"60":[200],"percent":[201],"similarity":[202],"real":[205],"Our":[207],"experimental":[208],"setup":[209],"has":[210],"been":[211],"compared":[212],"conventional":[215],"prove":[219],"efficiency":[221],"obtaining":[223],"accurate":[224],"results.":[225],"Furthermore,":[226],"our":[227],"technique":[228],"nondestructive,":[230],"does":[231],"not":[232,236],"require":[233],"raster":[234],"scanning,":[235],"time-gated":[237],"benefits":[240],"sensing.":[243]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
