{"id":"https://openalex.org/W3212167271","doi":"https://doi.org/10.1145/3485730.3485927","title":"UltraDepth","display_name":"UltraDepth","publication_year":2021,"publication_date":"2021-11-11","ids":{"openalex":"https://openalex.org/W3212167271","doi":"https://doi.org/10.1145/3485730.3485927","mag":"3212167271"},"language":"en","primary_location":{"id":"doi:10.1145/3485730.3485927","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3485730.3485927","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems","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/A5005853578","display_name":"Zhiyuan Xie","orcid":"https://orcid.org/0000-0002-9982-0222"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiyuan Xie","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong SAR, China"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087839973","display_name":"Xiaomin Ouyang","orcid":"https://orcid.org/0000-0003-0710-0963"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaomin Ouyang","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong SAR, China"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100409052","display_name":"Xiaoming Liu","orcid":"https://orcid.org/0000-0003-3215-8753"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaoming Liu","raw_affiliation_strings":["Michigan State University, East Lansing, MI, USA"],"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072780737","display_name":"Guoliang Xing","orcid":"https://orcid.org/0000-0003-1772-7751"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoliang Xing","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong SAR, China"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5005853578"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":4.6857,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.94906166,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"302","last_page":"315"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.996999979019165,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7877135872840881},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6904865503311157},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6798847913742065},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6292009353637695},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.5321698784828186},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5285781025886536},{"id":"https://openalex.org/keywords/reflection","display_name":"Reflection (computer programming)","score":0.5098173022270203},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5017590522766113},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.47855454683303833},{"id":"https://openalex.org/keywords/measured-depth","display_name":"Measured depth","score":0.4393714666366577},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.42797935009002686},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3323631286621094},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31234806776046753},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.22755581140518188},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.18467658758163452}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7877135872840881},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6904865503311157},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6798847913742065},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6292009353637695},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.5321698784828186},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5285781025886536},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.5098173022270203},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5017590522766113},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.47855454683303833},{"id":"https://openalex.org/C113346285","wikidata":"https://www.wikidata.org/wiki/Q6804193","display_name":"Measured depth","level":2,"score":0.4393714666366577},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.42797935009002686},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3323631286621094},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31234806776046753},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.22755581140518188},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.18467658758163452},{"id":"https://openalex.org/C8058405","wikidata":"https://www.wikidata.org/wiki/Q46255","display_name":"Geophysics","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3485730.3485927","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3485730.3485927","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-141700","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-141700","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1491538016","https://openalex.org/W1600851620","https://openalex.org/W1980827952","https://openalex.org/W1985309182","https://openalex.org/W2001642682","https://openalex.org/W2007208130","https://openalex.org/W2041525890","https://openalex.org/W2059544451","https://openalex.org/W2075801795","https://openalex.org/W2086584209","https://openalex.org/W2089916011","https://openalex.org/W2127403339","https://openalex.org/W2154332337","https://openalex.org/W2290804905","https://openalex.org/W2529099292","https://openalex.org/W2541102286","https://openalex.org/W2552746466","https://openalex.org/W2557465155","https://openalex.org/W2609229420","https://openalex.org/W2613930560","https://openalex.org/W2650354119","https://openalex.org/W2738545246","https://openalex.org/W2782078109","https://openalex.org/W2798936443","https://openalex.org/W2804304194","https://openalex.org/W2885017486","https://openalex.org/W2891054863","https://openalex.org/W2898898181","https://openalex.org/W2899146968","https://openalex.org/W2904332125","https://openalex.org/W2906903626","https://openalex.org/W2949860773","https://openalex.org/W2957414648","https://openalex.org/W2963280453","https://openalex.org/W2969985801","https://openalex.org/W3040947223","https://openalex.org/W3100930215","https://openalex.org/W3101196391","https://openalex.org/W3109500059"],"related_works":["https://openalex.org/W2915493008","https://openalex.org/W2089613850","https://openalex.org/W2524507886","https://openalex.org/W2937545488","https://openalex.org/W3125097393","https://openalex.org/W1976785785","https://openalex.org/W2573148703","https://openalex.org/W2091733721","https://openalex.org/W2792726918","https://openalex.org/W3003798263"],"abstract_inverted_index":{"Time-of-flight":[0],"(ToF)":[1],"depth":[2,50,136,171,199,234],"cameras":[3,16],"have":[4],"been":[5],"increasingly":[6],"adopted":[7],"in":[8,28,133,148,182,211],"various":[9],"real-world":[10,166],"applications,":[11],"e.g.,":[12],"used":[13,79],"with":[14],"RGB":[15,207],"for":[17,224],"advanced":[18],"computer":[19,229],"vision":[20,230],"tasks":[21],"like":[22],"3-D":[23],"mapping":[24],"or":[25],"deployed":[26],"alone":[27],"privacy-sensitive":[29],"applications":[30],"such":[31,74],"as":[32],"sleep":[33],"monitoring.":[34],"In":[35],"this":[36,219],"paper,":[37],"we":[38,99],"propose":[39,152],"UltraDepth,":[40,98,157],"the":[41,91,105,108,113,120,128,134,170,197,204],"first":[42],"system":[43],"that":[44],"can":[45,68,77,140],"expose":[46],"high-resolution":[47],"texture":[48,66,145],"from":[49],"maps":[51,172,200],"captured":[52],"by":[53,58,174],"off-the-shelf":[54],"ToF":[55,94],"cameras,":[56],"simply":[57],"introducing":[59],"a":[60,75,86,212],"distorting":[61,109],"IR":[62,110,209],"source.":[63],"The":[64,216],"exposed":[65],"information":[67],"significantly":[69],"augment":[70],"depth-based":[71],"applications.":[72],"Moreover,":[73],"capability":[76],"be":[78,131,141],"to":[80,90,143],"launch":[81],"privacy":[82],"attacks,":[83],"which":[84,191],"poses":[85],"major":[87],"concern":[88],"due":[89],"prominence":[92],"of":[93,107,127,146,156,206,214,218,233],"cameras.":[95],"To":[96],"design":[97],"present":[100],"an":[101],"in-depth":[102],"analysis":[103],"on":[104,112,227],"impact":[106],"light":[111],"distance":[114],"measurement.":[115],"We":[116,150],"further":[117],"show":[118,168],"that,":[119,169],"reflection":[121],"properties":[122],"(reflectivity":[123],"and":[124,138,160,187,201,208,231],"incidence":[125],"angle)":[126],"objects":[129,147],"will":[130],"encoded":[132],"distorted":[135],"map":[137],"hence":[139],"leveraged":[142],"reveal":[144],"UltraDepth.":[149],"then":[151],"two":[153],"practical":[154],"implementations":[155],"i.e.,":[158],"reflection-based":[159],"external":[161],"IR-based":[162],"implementations.":[163],"Our":[164],"extensive":[165],"experiments":[167],"output":[173],"UltraDepth":[175],"achieve":[176],"89.06%,":[177],"99.33%,":[178],"81.25%":[179],"mean":[180],"accuracy":[181],"object":[183],"detection,":[184],"face":[185],"recognition":[186],"character":[188],"recognition,":[189],"respectively,":[190],"offers":[192],"over":[193,196],"10x":[194],"improvement":[195],"ordinary":[198],"even":[202],"approaches":[203],"performance":[205],"images":[210],"number":[213],"scenarios.":[215],"findings":[217],"work":[220],"provide":[221],"key":[222],"insights":[223],"new":[225],"research":[226],"depth-related":[228],"security":[232],"sensing":[235],"devices.":[236]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2021-11-22T00:00:00"}
