{"id":"https://openalex.org/W3003412456","doi":"https://doi.org/10.1117/12.2557533","title":"Valid depth data extraction and correction for time-of-flight camera","display_name":"Valid depth data extraction and correction for time-of-flight camera","publication_year":2020,"publication_date":"2020-01-31","ids":{"openalex":"https://openalex.org/W3003412456","doi":"https://doi.org/10.1117/12.2557533","mag":"3003412456"},"language":"en","primary_location":{"id":"doi:10.1117/12.2557533","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2557533","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Twelfth International Conference on Machine Vision (ICMV 2019)","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/A5073451639","display_name":"Xin Qiao","orcid":"https://orcid.org/0000-0002-0044-2947"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Qiao","raw_affiliation_strings":["Xi'an Jiaotong Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong Univ. (China)","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025083064","display_name":"Chenyang Ge","orcid":"https://orcid.org/0000-0003-0756-3706"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyang Ge","raw_affiliation_strings":["Xi'an Jiaotong Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong Univ. (China)","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020431559","display_name":"Huimin Yao","orcid":"https://orcid.org/0009-0007-4941-2216"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huimin Yao","raw_affiliation_strings":["Xi'an Jiaotong Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong Univ. (China)","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013081919","display_name":"Pengchao Deng","orcid":"https://orcid.org/0000-0003-4775-7302"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengchao Deng","raw_affiliation_strings":["Xi'an Jiaotong Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong Univ. (China)","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015778825","display_name":"Yanhui Zhou","orcid":"https://orcid.org/0000-0002-4130-0195"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanhui Zhou","raw_affiliation_strings":["Xi'an Jiaotong Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong Univ. (China)","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5073451639"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.8633,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.82676444,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"53","last_page":"53"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.998199999332428,"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":0.9950000047683716,"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/pixel","display_name":"Pixel","score":0.8980498909950256},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7411102652549744},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.672626793384552},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6315503716468811},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6192641854286194},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5993518829345703},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.493644118309021},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.46495091915130615},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4298918843269348},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4284043312072754},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3589898943901062},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31184935569763184},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09140291810035706}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.8980498909950256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7411102652549744},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.672626793384552},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6315503716468811},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6192641854286194},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5993518829345703},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.493644118309021},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.46495091915130615},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4298918843269348},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4284043312072754},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3589898943901062},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31184935569763184},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09140291810035706},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2557533","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2557533","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Twelfth International Conference on Machine Vision (ICMV 2019)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W2922442631","https://openalex.org/W4390494008","https://openalex.org/W2053596378","https://openalex.org/W2168523118","https://openalex.org/W2073639911","https://openalex.org/W1998512593"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"an":[3],"algorithm":[4],"is":[5,35,52],"presented":[6],"to":[7,54],"extract":[8],"the":[9,15,31,56,60,65,74,86,98],"valid":[10],"depth":[11,22,33,66],"data":[12],"and":[13,24,42,59],"correct":[14],"values":[16],"of":[17,100],"flying":[18,61],"pixels":[19,58,62,70,88],"by":[20,81],"using":[21],"information":[23],"confidence":[25],"image.":[26,67],"An":[27],"adaptive":[28],"segmentation":[29],"for":[30],"measured":[32],"image":[34],"executed":[36],"based":[37],"on":[38],"kernel":[39],"density":[40],"estimation":[41],"one-pass":[43],"connected":[44],"component":[45],"labeling.":[46],"Then":[47],"a":[48],"modified":[49],"structure":[50],"tensor":[51],"used":[53],"detect":[55],"invalid":[57],"contained":[63],"in":[64],"Finally":[68],"these":[69],"are":[71,89],"corrected":[72],"with":[73,91],"bi-cubic":[75],"interpolation":[76],"method":[77],"or":[78],"selectively":[79],"removed":[80],"voting":[82],"operation.":[83],"And":[84],"also,":[85],"erroneous":[87],"excluded":[90],"augmented":[92],"confidence.":[93],"Experimental":[94],"results":[95],"have":[96],"demonstrated":[97],"effectiveness":[99],"our":[101],"algorithm.":[102]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}