{"id":"https://openalex.org/W2574512391","doi":"https://doi.org/10.2352/issn.2470-1173.2016.21.3dipm-406","title":"High-Fidelity Time-of-Flight Edge Sampling Using Superpixels","display_name":"High-Fidelity Time-of-Flight Edge Sampling Using Superpixels","publication_year":2016,"publication_date":"2016-02-14","ids":{"openalex":"https://openalex.org/W2574512391","doi":"https://doi.org/10.2352/issn.2470-1173.2016.21.3dipm-406","mag":"2574512391"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2016.21.3dipm-406","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2016.21.3dipm-406","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-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/A5005279726","display_name":"Thomas Hach","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Thomas Hach","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081903700","display_name":"Johannes Steurer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Johannes Steurer","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5002857313","display_name":"Sascha Knob","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sascha Knob","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005279726"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15855807,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":"21","first_page":"3DIPM","last_page":"406.1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9962000250816345,"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"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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-vision","display_name":"Computer vision","score":0.7877480387687683},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7874155640602112},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.7698465585708618},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.708987832069397},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6779025197029114},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.5605258941650391},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5006601810455322},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.47872090339660645},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4555959701538086},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.4473131597042084},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2735704183578491},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.195257306098938},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07111567258834839}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7877480387687683},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7874155640602112},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.7698465585708618},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.708987832069397},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6779025197029114},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.5605258941650391},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5006601810455322},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.47872090339660645},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4555959701538086},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.4473131597042084},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2735704183578491},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.195257306098938},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07111567258834839},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2016.21.3dipm-406","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2016.21.3dipm-406","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2381850946","https://openalex.org/W4380449851","https://openalex.org/W3125091513","https://openalex.org/W4318832338","https://openalex.org/W2037048986","https://openalex.org/W4248383205","https://openalex.org/W1919390113","https://openalex.org/W4234745530","https://openalex.org/W2146383839","https://openalex.org/W2067272521"],"abstract_inverted_index":{"This":[0,128],"paper":[1],"focuses":[2],"on":[3,123,141],"depth":[4,14,20,30,48,61,84,101,131],"map":[5,15,21,85],"boundary":[6,80],"reconstruction":[7],"by":[8,86,115],"providing":[9],"a":[10,34,59],"novel":[11],"goal-oriented":[12],"Time-of-Flight":[13],"superresolution":[16],"approach.":[17],"State-of-the-art":[18],"RGB-guided":[19],"upscaling":[22],"uses":[23],"accompanied":[24],"high-resolution":[25],"RGB":[26,66,73],"information":[27,81,133],"to":[28,70,76,82],"upscale":[29],"maps":[31],"while":[32],"leaving":[33],"minor":[35],"but":[36],"non-negligible":[37],"amount":[38],"of":[39],"blurred":[40],"flying":[41,51,106],"pixels":[42,52],"which":[43,57],"are":[44],"physically":[45,99],"incorrect":[46],"in":[47,119,137],"maps.":[49],"These":[50],"highly":[53,129],"deteriorate":[54],"consecutive":[55],"applications":[56,139],"need":[58],"high-definition":[60],"key.":[62],"Our":[63],"approach":[64],"evaluates":[65],"superpixel":[67],"segmentation":[68],"principles":[69],"precisely":[71],"indicate":[72],"boundaries":[74],"and":[75,98],"finally":[77],"transfer":[78],"this":[79],"the":[83,88],"assigning":[87],"maximumlikelihood":[89],"estimate":[90],"for":[91],"each":[92],"region.":[93],"Thereby,":[94],"we":[95],"achieve":[96],"discontinued":[97],"correct":[100],"edges":[102],"with":[103],"noticeably":[104],"reduced":[105],"pixel":[107],"artifacts.":[108],"The":[109],"proposed":[110],"method":[111],"overcomes":[112],"previous":[113],"algorithms":[114],"more":[116],"than":[117],"50%":[118],"our":[120],"dedicated":[121],"evaluation":[122],"real":[124],"RGBD":[125],"camera":[126],"data.":[127],"accurate":[130],"edge":[132],"can":[134],"be":[135],"used":[136],"future":[138],"relying":[140],"depth-based":[142],"keying.":[143]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
