{"id":"https://openalex.org/W2792142776","doi":"https://doi.org/10.1109/icip.2017.8296655","title":"Low power depth estimation for time-of-flight imaging","display_name":"Low power depth estimation for time-of-flight imaging","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2792142776","doi":"https://doi.org/10.1109/icip.2017.8296655","mag":"2792142776"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2017.8296655","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296655","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","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/A5091554637","display_name":"James Noraky","orcid":"https://orcid.org/0000-0001-8552-7458"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Noraky","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066351389","display_name":"Vivienne Sze","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vivienne Sze","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.25,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.95041793,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2114","last_page":"2118"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9998000264167786,"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":0.9998000264167786,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9997000098228455,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9991999864578247,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7014986276626587},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6650398969650269},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6430718898773193},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.6305614113807678},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5841896533966064},{"id":"https://openalex.org/keywords/time-of-flight","display_name":"Time of flight","score":0.46544158458709717},{"id":"https://openalex.org/keywords/augmented-reality","display_name":"Augmented reality","score":0.4375775158405304},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.4226815104484558},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.2971794605255127},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14491185545921326},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.09697943925857544}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7014986276626587},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6650398969650269},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6430718898773193},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.6305614113807678},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5841896533966064},{"id":"https://openalex.org/C98960154","wikidata":"https://www.wikidata.org/wiki/Q3983322","display_name":"Time of flight","level":2,"score":0.46544158458709717},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.4375775158405304},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.4226815104484558},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.2971794605255127},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14491185545921326},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.09697943925857544},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2017.8296655","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296655","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1187244281","https://openalex.org/W1972671602","https://openalex.org/W1989143963","https://openalex.org/W1992825963","https://openalex.org/W2002524085","https://openalex.org/W2021851106","https://openalex.org/W2059612594","https://openalex.org/W2085261163","https://openalex.org/W2126398072","https://openalex.org/W2427448504","https://openalex.org/W2436453945","https://openalex.org/W4253059935"],"related_works":["https://openalex.org/W2172197285","https://openalex.org/W2991048842","https://openalex.org/W2750280393","https://openalex.org/W2355696739","https://openalex.org/W3158001554","https://openalex.org/W2771909920","https://openalex.org/W2957704286","https://openalex.org/W2028936041","https://openalex.org/W2179141964","https://openalex.org/W2003805688"],"abstract_inverted_index":{"Depth":[0],"sensing":[1,172],"is":[2,21,100],"used":[3],"in":[4],"a":[5,23,53,90,125,135,158],"variety":[6],"of":[7,48,56,107,138,162],"applications":[8],"that":[9,76],"range":[10],"from":[11],"augmented":[12],"reality":[13],"to":[14,18,88],"robotics.":[15],"One":[16],"way":[17],"measure":[19],"depth":[20,29,70,92,106,117,155,171],"with":[22,157],"time-of-flight":[24],"(TOF)":[25],"camera,":[26],"which":[27],"obtains":[28,111],"by":[30,130,173],"emitting":[31],"light":[32],"and":[33,58,110,140],"measuring":[34],"its":[35,61],"round":[36],"trip":[37],"time.":[38],"However,":[39],"for":[40,69,103,170],"many":[41],"battery":[42,62],"powered":[43],"devices,":[44],"the":[45,49,66,78,85,96,105,166],"illumination":[46],"source":[47],"TOF":[50,86],"camera":[51,87],"requires":[52],"significant":[54],"amount":[55],"power":[57,67,127,168],"further":[59],"limits":[60],"life.":[63],"To":[64],"minimize":[65],"required":[68,169],"sensing,":[71],"we":[72],"present":[73],"an":[74,149],"algorithm":[75],"exploits":[77],"apparent":[79],"motion":[80],"across":[81],"images":[82],"collected":[83],"alongside":[84],"obtain":[89],"new":[91],"map":[93],"without":[94],"illuminating":[95],"scene.":[97],"Our":[98],"technique":[99,147],"best":[101],"suited":[102],"estimating":[104],"rigid":[108],"objects":[109],"low":[112,126],"latency,":[113],"640":[114],"\u00d7":[115],"480":[116],"maps":[118,156],"at":[119,134],"30":[120],"frames":[121],"per":[122],"second":[123],"on":[124,148],"embedded":[128],"platform":[129],"using":[131],"block":[132],"matching":[133],"sparse":[136],"set":[137],"points":[139],"least":[141],"squares":[142],"minimization.":[143],"We":[144],"evaluated":[145],"our":[146],"RGB-D":[150],"dataset":[151],"where":[152],"it":[153],"produced":[154],"mean":[159],"relative":[160],"error":[161],"0.85%":[163],"while":[164],"reducing":[165],"total":[167],"3\u00d7.":[174]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
