{"id":"https://openalex.org/W3010871426","doi":"https://doi.org/10.1109/tpami.2020.2981574","title":"Model Study of Transient Imaging With Multi-Frequency Time-of-Flight Sensors","display_name":"Model Study of Transient Imaging With Multi-Frequency Time-of-Flight Sensors","publication_year":2020,"publication_date":"2020-03-18","ids":{"openalex":"https://openalex.org/W3010871426","doi":"https://doi.org/10.1109/tpami.2020.2981574","mag":"3010871426","pmid":"https://pubmed.ncbi.nlm.nih.gov/32191880"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2020.2981574","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2020.2981574","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101574644","display_name":"Hongman Wang","orcid":"https://orcid.org/0000-0002-8736-7846"},"institutions":[{"id":"https://openalex.org/I153374732","display_name":"Liaoning Normal University","ror":"https://ror.org/04c3cgg32","country_code":"CN","type":"education","lineage":["https://openalex.org/I153374732"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongman Wang","raw_affiliation_strings":["School of Computer and Information Technology, Liaoning Normal University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-8736-7846","affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Liaoning Normal University, Dalian, China","institution_ids":["https://openalex.org/I153374732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100648567","display_name":"Hui Qiao","orcid":"https://orcid.org/0000-0002-4896-8657"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Qiao","raw_affiliation_strings":["Department of Automation, Beijing National Research Center for Information Science and Technology, Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4896-8657","affiliations":[{"raw_affiliation_string":"Department of Automation, Beijing National Research Center for Information Science and Technology, Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037064693","display_name":"Jingyu Lin","orcid":"https://orcid.org/0000-0002-7194-3300"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyu Lin","raw_affiliation_strings":["School of Electrical Engineering, Guangxi University, Nanning, China"],"raw_orcid":"https://orcid.org/0000-0002-7194-3300","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Guangxi University, Nanning, China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101703499","display_name":"Rihui Wu","orcid":"https://orcid.org/0000-0003-2784-5735"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rihui Wu","raw_affiliation_strings":["Institute of Computing Technology, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2784-5735","affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032875389","display_name":"Yebin Liu","orcid":"https://orcid.org/0000-0003-3215-0225"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yebin Liu","raw_affiliation_strings":["Department of Automation, Beijing National Research Center for Information Science and Technology, Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3215-0225","affiliations":[{"raw_affiliation_string":"Department of Automation, Beijing National Research Center for Information Science and Technology, Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080722708","display_name":"Qionghai Dai","orcid":"https://orcid.org/0000-0001-7043-3061"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qionghai Dai","raw_affiliation_strings":["Department of Automation, Beijing National Research Center for Information Science and Technology, Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Beijing National Research Center for Information Science and Technology, Institute for Brain and Cognitive Sciences, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101574644"],"corresponding_institution_ids":["https://openalex.org/I153374732"],"apc_list":null,"apc_paid":null,"fwci":1.5123,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.87321429,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"43","issue":"10","first_page":"3523","last_page":"3539"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":1.0,"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":1.0,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10540","display_name":"Advanced Fluorescence Microscopy Techniques","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6970912218093872},{"id":"https://openalex.org/keywords/transient","display_name":"Transient (computer programming)","score":0.6859011650085449},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6252613663673401},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6078482270240784},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5822194218635559},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5598917007446289},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.5528221726417542},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.49651986360549927},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4733072519302368},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.4722924828529358},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14757812023162842}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6970912218093872},{"id":"https://openalex.org/C2780799671","wikidata":"https://www.wikidata.org/wiki/Q17087362","display_name":"Transient (computer programming)","level":2,"score":0.6859011650085449},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6252613663673401},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6078482270240784},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5822194218635559},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5598917007446289},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.5528221726417542},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.49651986360549927},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4733072519302368},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.4722924828529358},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14757812023162842},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2020.2981574","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2020.2981574","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:32191880","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32191880","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1834506735","display_name":null,"funder_award_id":"Z181100003118014","funder_id":"https://openalex.org/F4320325902","funder_display_name":"Beijing Municipal Science and Technology Commission"},{"id":"https://openalex.org/G786213171","display_name":null,"funder_award_id":"61827805","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320325902","display_name":"Beijing Municipal Science and Technology Commission","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W80995486","https://openalex.org/W1501742138","https://openalex.org/W1504888324","https://openalex.org/W1527354995","https://openalex.org/W1546130469","https://openalex.org/W1571821595","https://openalex.org/W1965908318","https://openalex.org/W1971646136","https://openalex.org/W1979306294","https://openalex.org/W1984039196","https://openalex.org/W1990787069","https://openalex.org/W2015555006","https://openalex.org/W2024492203","https://openalex.org/W2025976924","https://openalex.org/W2028868706","https://openalex.org/W2030449718","https://openalex.org/W2031914226","https://openalex.org/W2031980170","https://openalex.org/W2032496809","https://openalex.org/W2033235976","https://openalex.org/W2040289161","https://openalex.org/W2059282793","https://openalex.org/W2062090038","https://openalex.org/W2072400982","https://openalex.org/W2076954462","https://openalex.org/W2086961060","https://openalex.org/W2112858385","https://openalex.org/W2127271355","https://openalex.org/W2129131372","https://openalex.org/W2129638195","https://openalex.org/W2164693610","https://openalex.org/W2168894291","https://openalex.org/W2284483441","https://openalex.org/W2314059154","https://openalex.org/W2319307120","https://openalex.org/W2344346014","https://openalex.org/W2464830972","https://openalex.org/W2507378247","https://openalex.org/W2511048156","https://openalex.org/W2512832263","https://openalex.org/W2524562612","https://openalex.org/W2547798018","https://openalex.org/W2661752933","https://openalex.org/W2738798903","https://openalex.org/W2765917960","https://openalex.org/W2768431869","https://openalex.org/W2768447392","https://openalex.org/W2787942540","https://openalex.org/W2799176195","https://openalex.org/W2799224898","https://openalex.org/W2804203226","https://openalex.org/W2806375386","https://openalex.org/W2885742239","https://openalex.org/W2919115771","https://openalex.org/W2952225226","https://openalex.org/W2963471854","https://openalex.org/W3004279346","https://openalex.org/W3010577160","https://openalex.org/W3102597069","https://openalex.org/W3106403396","https://openalex.org/W4250334485","https://openalex.org/W6632495422"],"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/W2157715872","https://openalex.org/W2378166785","https://openalex.org/W1964277756","https://openalex.org/W2896778670"],"abstract_inverted_index":{"As":[0],"an":[1],"emerging":[2],"imaging":[3,6,34,76,91,126,172],"modality,":[4],"transient":[5,10,75,125,153,160,171],"that":[7,95],"records":[8],"the":[9,25,46,89,96,105,111,114,121,147],"information":[11],"of":[12,20,24,88,98,132],"light":[13],"transport":[14],"has":[15],"significantly":[16],"shaped":[17],"our":[18,128],"understanding":[19],"scenes.":[21],"In":[22,68],"spite":[23],"great":[26],"progress":[27],"made":[28],"in":[29,104,110,124],"computer":[30],"vision":[31],"and":[32,50,62,108,113,150,163,182,191],"optical":[33],"fields,":[35],"commonly":[36],"used":[37],"multi-frequency":[38,179],"time-of-flight":[39],"(ToF)":[40],"sensors":[41,181],"are":[42,65],"still":[43],"afflicted":[44],"with":[45,127],"band-limited":[47],"modulation":[48],"frequency":[49],"long":[51],"acquisition":[52],"process.":[53],"To":[54],"overcome":[55],"such":[56],"barriers,":[57],"more":[58],"effective":[59],"image-formation":[60],"schemes":[61],"reconstruction":[63,155,162,167],"algorithms":[64],"highly":[66,165],"desired.":[67],"this":[69],"paper,":[70],"we":[71],"propose":[72],"a":[73,84,137,151],"compressive":[74,170],"model,":[77],"without":[78],"any":[79],"priori":[80],"knowledge,":[81],"by":[82],"constructing":[83],"near-tight-frame":[85],"based":[86],"representation":[87],"ToF":[90,115,180],"principle.":[92],"We":[93],"prove":[94],"compressibility":[97],"sensor":[99],"measurements":[100,116],"can":[101],"be":[102],"presented":[103],"Fourier":[106],"domain":[107],"held":[109],"frame,":[112],"possess":[117],"multi-scale":[118],"characteristics.":[119],"Solving":[120],"inverse":[122],"problems":[123],"proposed":[129],"model":[130,173],"consists":[131],"two":[133],"major":[134],"steps,":[135],"including":[136],"compressed-sensing-based":[138],"approach":[139],"for":[140,176],"full":[141],"measurement":[142],"recovery,":[143],"which":[144,157],"essentially":[145],"reduces":[146],"capture":[148],"time,":[149],"wavelet-based":[152],"image":[154,161],"framework,":[156],"realizes":[158],"adaptive":[159],"achieves":[164],"accurate":[166],"results.":[168],"The":[169],"is":[174],"suitable":[175],"various":[177],"existing":[178],"requires":[183],"no":[184],"hardware":[185],"modifications.":[186],"Experimental":[187],"results":[188],"using":[189],"synthetic":[190],"real":[192],"online":[193],"datasets":[194],"demonstrate":[195],"its":[196],"promising":[197],"performance.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}