{"id":"https://openalex.org/W2986899117","doi":"https://doi.org/10.1109/globalsip45357.2019.8969177","title":"Compressive Super-Pixel LiDAR for High-Framerate 3D Depth Imaging","display_name":"Compressive Super-Pixel LiDAR for High-Framerate 3D Depth Imaging","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W2986899117","doi":"https://doi.org/10.1109/globalsip45357.2019.8969177","mag":"2986899117"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip45357.2019.8969177","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip45357.2019.8969177","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","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/A5112691882","display_name":"Andreas Asmann","orcid":null},"institutions":[{"id":"https://openalex.org/I32062511","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93","country_code":"GB","type":"education","lineage":["https://openalex.org/I32062511"]},{"id":"https://openalex.org/I4210135508","display_name":"STMicroelectronics (United Kingdom)","ror":"https://ror.org/0442wxc77","country_code":"GB","type":"company","lineage":["https://openalex.org/I131827901","https://openalex.org/I4210135508"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Andreas Asmann","raw_affiliation_strings":["STMicroelectronics R&D Ltd., EPS, Heriot-Watt University, Edinburgh, UK"],"affiliations":[{"raw_affiliation_string":"STMicroelectronics R&D Ltd., EPS, Heriot-Watt University, Edinburgh, UK","institution_ids":["https://openalex.org/I32062511","https://openalex.org/I4210135508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083083024","display_name":"Brian Stewart","orcid":"https://orcid.org/0000-0003-4637-7818"},"institutions":[{"id":"https://openalex.org/I4210135508","display_name":"STMicroelectronics (United Kingdom)","ror":"https://ror.org/0442wxc77","country_code":"GB","type":"company","lineage":["https://openalex.org/I131827901","https://openalex.org/I4210135508"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Brian Stewart","raw_affiliation_strings":["STMicroelectronics R&D Ltd., Edinburgh, UK"],"affiliations":[{"raw_affiliation_string":"STMicroelectronics R&D Ltd., Edinburgh, UK","institution_ids":["https://openalex.org/I4210135508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009017662","display_name":"Jo\u00e3o F. C. Mota","orcid":"https://orcid.org/0000-0001-7263-8255"},"institutions":[{"id":"https://openalex.org/I32062511","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93","country_code":"GB","type":"education","lineage":["https://openalex.org/I32062511"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Joao F. C. Mota","raw_affiliation_strings":["EPS, Heriot-Watt University, Edinburgh, UK"],"affiliations":[{"raw_affiliation_string":"EPS, Heriot-Watt University, Edinburgh, UK","institution_ids":["https://openalex.org/I32062511"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012904339","display_name":"Andrew Wallace","orcid":"https://orcid.org/0000-0003-4425-8591"},"institutions":[{"id":"https://openalex.org/I32062511","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93","country_code":"GB","type":"education","lineage":["https://openalex.org/I32062511"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Andrew M. Wallace","raw_affiliation_strings":["EPS, Heriot-Watt University, Edinburgh, UK"],"affiliations":[{"raw_affiliation_string":"EPS, Heriot-Watt University, Edinburgh, UK","institution_ids":["https://openalex.org/I32062511"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5112691882"],"corresponding_institution_ids":["https://openalex.org/I32062511","https://openalex.org/I4210135508"],"apc_list":null,"apc_paid":null,"fwci":5.4936,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.95663215,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"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":0.9993000030517578,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9993000030517578,"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/compressed-sensing","display_name":"Compressed sensing","score":0.7677650451660156},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.6849678754806519},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6040686964988708},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.6038264036178589},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5552852153778076},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5427224636077881},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5316375494003296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5228055715560913},{"id":"https://openalex.org/keywords/parallelizable-manifold","display_name":"Parallelizable manifold","score":0.47354763746261597},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.46907705068588257},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.45835959911346436},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.41052964329719543},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.29529720544815063},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.29318350553512573},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2867790162563324},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11606720089912415}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7677650451660156},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.6849678754806519},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6040686964988708},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.6038264036178589},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5552852153778076},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5427224636077881},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5316375494003296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5228055715560913},{"id":"https://openalex.org/C148047603","wikidata":"https://www.wikidata.org/wiki/Q1014612","display_name":"Parallelizable manifold","level":2,"score":0.47354763746261597},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.46907705068588257},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.45835959911346436},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.41052964329719543},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.29529720544815063},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29318350553512573},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2867790162563324},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11606720089912415}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globalsip45357.2019.8969177","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip45357.2019.8969177","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1524392794","https://openalex.org/W2003258022","https://openalex.org/W2035657841","https://openalex.org/W2077394796","https://openalex.org/W2103115408","https://openalex.org/W2109449402","https://openalex.org/W2119667497","https://openalex.org/W2122548617","https://openalex.org/W2129812098","https://openalex.org/W2132686817","https://openalex.org/W2156805234","https://openalex.org/W2164452299","https://openalex.org/W2291054886","https://openalex.org/W2296616510","https://openalex.org/W2397830550","https://openalex.org/W2536608934","https://openalex.org/W2562751859","https://openalex.org/W3098774756","https://openalex.org/W4250955649","https://openalex.org/W6791657787"],"related_works":["https://openalex.org/W4285069850","https://openalex.org/W1974634278","https://openalex.org/W4240963716","https://openalex.org/W2891970004","https://openalex.org/W4301075503","https://openalex.org/W1596637634","https://openalex.org/W1996916724","https://openalex.org/W2321918740","https://openalex.org/W2900794160","https://openalex.org/W2896778670"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,24,49,105,135],"new":[3],"sampling":[4],"and":[5,18,91,146],"reconstruction":[6,44,84,124],"framework":[7],"for":[8],"full":[9],"frame":[10,136,154],"depth":[11,46],"imaging":[12],"using":[13],"synchronised,":[14],"programmable":[15],"laser":[16],"diode":[17],"photon":[19,65],"detector":[20],"arrays.":[21],"By":[22],"adopting":[23],"measurement":[25],"scheme":[26],"that":[27,59,110],"probes":[28],"the":[29,57,64,72,112,148],"environment":[30],"with":[31,48,119],"sparse,":[32],"pseudo-random":[33],"patterns,":[34],"our":[35,128],"method":[36],"enables":[37],"eye-safe":[38],"LiDAR":[39],"operation,":[40],"while":[41],"guaranteeing":[42],"fast":[43],"of":[45,138],"images":[47],"high":[50],"signal-to-noise":[51],"ratio":[52],"(SNR).":[53],"Building":[54],"up":[55,100],"on":[56],"observation":[58],"certain":[60],"quantities":[61],"derived":[62],"from":[63],"count":[66],"histograms":[67],"are":[68],"sparse":[69],"in":[70,127],"either":[71],"\u2113":[73],"<sub":[74],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[75],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[76],"-norm":[77],"or":[78,121],"have":[79],"small":[80],"total":[81],"variation":[82],"(TV),":[83],"is":[85,143],"performed":[86],"via":[87],"compressed":[88],"sensing":[89],"(CS)":[90],"takes":[92],"approximately":[93],"30":[94],"s":[95],"per":[96,117],"frame.":[97],"To":[98],"speed":[99],"reconstruction,":[101],"we":[102,130],"further":[103],"introduce":[104],"checkerboard":[106],"tiling":[107],"approach":[108],"(CB-CS)":[109],"reduces":[111],"processing":[113],"time":[114],"to":[115,150],"milliseconds":[116],"tile,":[118],"comparable":[120],"even":[122],"less":[123],"error.":[125],"Although":[126],"experiments":[129],"reconstruct":[131],"tiles":[132],"sequentially":[133],"at":[134],"rate":[137],"~4":[139],"Hz,":[140],"this":[141],"process":[142],"highly":[144],"parallelizable":[145],"has":[147],"potential":[149],"achieve":[151],"1":[152],"kHz":[153],"rates.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
