{"id":"https://openalex.org/W4386323547","doi":"https://doi.org/10.1109/icce-taiwan58799.2023.10226686","title":"Depth Camera Point Cloud Sharpening","display_name":"Depth Camera Point Cloud Sharpening","publication_year":2023,"publication_date":"2023-07-17","ids":{"openalex":"https://openalex.org/W4386323547","doi":"https://doi.org/10.1109/icce-taiwan58799.2023.10226686"},"language":"en","primary_location":{"id":"doi:10.1109/icce-taiwan58799.2023.10226686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-taiwan58799.2023.10226686","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5032009148","display_name":"Chao-Chung Peng","orcid":"https://orcid.org/0000-0002-4068-0632"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chao-Chung Peng","raw_affiliation_strings":["National Cheng Kung University,Department of Aeronautics and Astronautics,Tainan,Taiwan","Department of Aeronautics and Astronautics, National Cheng Kung University, Tainan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Cheng Kung University,Department of Aeronautics and Astronautics,Tainan,Taiwan","institution_ids":["https://openalex.org/I91807558"]},{"raw_affiliation_string":"Department of Aeronautics and Astronautics, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5032009148"],"corresponding_institution_ids":["https://openalex.org/I91807558"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"719","last_page":"720"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9994999766349792,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9994999766349792,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9994999766349792,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/sharpening","display_name":"Sharpening","score":0.8732630014419556},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7676953077316284},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7311375141143799},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7216223478317261},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.689965546131134},{"id":"https://openalex.org/keywords/depth-of-field","display_name":"Depth of field","score":0.6691978573799133},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.6337295174598694},{"id":"https://openalex.org/keywords/measured-depth","display_name":"Measured depth","score":0.59517502784729},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5139212608337402},{"id":"https://openalex.org/keywords/stereo-camera","display_name":"Stereo camera","score":0.4872373640537262},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4782237708568573},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.45921918749809265},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3816682696342468},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3103977143764496},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10252445936203003},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09842255711555481}],"concepts":[{"id":"https://openalex.org/C2781137444","wikidata":"https://www.wikidata.org/wiki/Q237105","display_name":"Sharpening","level":2,"score":0.8732630014419556},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7676953077316284},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7311375141143799},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7216223478317261},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.689965546131134},{"id":"https://openalex.org/C183072630","wikidata":"https://www.wikidata.org/wiki/Q215932","display_name":"Depth of field","level":2,"score":0.6691978573799133},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.6337295174598694},{"id":"https://openalex.org/C113346285","wikidata":"https://www.wikidata.org/wiki/Q6804193","display_name":"Measured depth","level":2,"score":0.59517502784729},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5139212608337402},{"id":"https://openalex.org/C185078393","wikidata":"https://www.wikidata.org/wiki/Q313783","display_name":"Stereo camera","level":2,"score":0.4872373640537262},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4782237708568573},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.45921918749809265},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3816682696342468},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3103977143764496},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10252445936203003},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09842255711555481},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-taiwan58799.2023.10226686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-taiwan58799.2023.10226686","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324663","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2765223700","https://openalex.org/W2999519478","https://openalex.org/W3000368443","https://openalex.org/W3154138468","https://openalex.org/W3174609850","https://openalex.org/W4200232481","https://openalex.org/W6797583271"],"related_works":["https://openalex.org/W2915493008","https://openalex.org/W2756963361","https://openalex.org/W2771003565","https://openalex.org/W4229030109","https://openalex.org/W2050501141","https://openalex.org/W2971759143","https://openalex.org/W2398523692","https://openalex.org/W2080890436","https://openalex.org/W4386323547","https://openalex.org/W2289073019"],"abstract_inverted_index":{"A":[0],"depth":[1,18,37,54,75,89,98],"camera":[2,7,38],"is":[3,39,77,82],"a":[4,16,26,33,36,52,96],"type":[5],"of":[6,20,72],"that":[8],"uses":[9],"infrared":[10],"or":[11],"structure":[12],"light":[13],"to":[14,41,103],"create":[15],"3D":[17,114,117],"image":[19],"an":[21],"object":[22,118],"being":[23],"captured.":[24],"Unlike":[25],"traditional":[27],"camera,":[28],"which":[29,108],"can":[30,109],"only":[31],"capture":[32],"2D":[34],"image,":[35],"able":[40],"determine":[42],"the":[43,48,58,69,105],"distance":[44,73],"between":[45],"objects":[46],"within":[47],"field-of-view":[49],"(FoV).":[50],"As":[51],"result,":[53],"cameras":[55],"have":[56],"become":[57],"popular":[59],"consumer":[60],"devices":[61],"and":[62,74,85,116],"are":[63],"often":[64],"used":[65],"in":[66],"applications":[67],"when":[68],"accurate":[70],"measurement":[71,80,106],"information":[76],"important.":[78],"However,":[79],"noise":[81],"not":[83],"avoidable":[84],"it":[86],"definitely":[87],"contaminates":[88],"information.":[90],"Therefore,":[91],"this":[92],"short":[93],"note":[94],"presents":[95],"simple":[97],"point":[99],"cloud":[100],"sharpening":[101],"scheme":[102],"enhance":[104],"accuracy,":[107],"give":[110],"significant":[111],"contribution":[112],"for":[113],"scanning":[115],"reconstruction":[119],"uses.":[120]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
