{"id":125,"date":"2017-05-29T10:41:55","date_gmt":"2017-05-29T01:41:55","guid":{"rendered":"http:\/\/msiplab.eng.niigata-u.ac.jp\/?page_id=125"},"modified":"2018-05-19T10:41:53","modified_gmt":"2018-05-19T01:41:53","slug":"traditionalcrafts","status":"publish","type":"page","link":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/projects\/traditionalcrafts","title":{"rendered":"\u4f1d\u7d71\u5de5\u82b8"},"content":{"rendered":"<p><\/p>\n<h1>\u4f1d\u7d71\u7684\u5de5\u82b8\u54c1\u306e\u4e16\u754c\u8ca9\u58f2\u6226\u7565\u3092\u652f\u63f4\u3059\u308b\u305f\u3081\u306e\u30d0\u30fc\u30c1\u30e3\u30eb\u30b7\u30e7\u30a6\u30b1\u30fc\u30b9\u306e\u7814\u7a76\u958b\u767a<\/h1>\n<p>&nbsp;<\/p>\n<ul>\n<li>\u53d7\u8a17\u7814\u7a76\uff1a\u7dcf\u52d9\u7701\u3000\u6226\u7565\u7684\u60c5\u5831\u901a\u4fe1\u7814\u7a76\u958b\u767a\u63a8\u9032\u4e8b\u696d\uff08152304003\uff09<\/li>\n<li>\u59d4\u8a17\u8005\uff1a\u7dcf\u52d9\u7701<\/li>\n<li>\u7814\u7a76\u53c2\u753b\u6a5f\u95a2\uff1a\u65b0\u6f5f\u770c\u5de5\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240\u3001\u65b0\u6f5f\u5927\u5b66<\/li>\n<li>\u7814\u7a76\u671f\u9593\u3000\u5e73\u621027\u5e74\u5ea6\uff5e\u5e73\u621029\u5e74\u5ea6<\/li>\n<\/ul>\n<h2>\u672c\u7814\u7a76\u958b\u767a\u306e\u6982\u8981<\/h2>\n<p>\u65b0\u6f5f\u770c\u3092\u306f\u3058\u3081\u3068\u3059\u308b\u65e5\u672c\u306e\u4f1d\u7d71\u7684\u5de5\u82b8\u54c1\u3092\u4e16\u754c\u5404\u5730\u3067\u5e83\u304f\u8ca9\u58f2\u3059\u308b\u305f\u3081\u306e\u30d0\u30fc\u30c1\u30e3\u30eb\u30b7\u30e7\u30a6\u30b1\u30fc\u30b9\u3092\u958b\u767a\u3059\u308b\u3002\u3044\u3064\u3067\u3082\u3069\u3053\u306b\u5c45\u3066\u3082\u30a6\u30a7\u30d6\u30d6\u30e9\u30a6\u30b6\u7b49\u304b\u3089\u81ea\u7531\u306b\u88fd\u54c1\u753b\u50cf\u304c\u898b\u3089\u308c\u3001\u5de5\u82b8\u54c1\u3092\u9ad8\u3044\u8cea\u611f\u518d\u73fe\u6027\u3067\u7591\u4f3c\u5c55\u793a\u3067\u304d\u308b\u3053\u3068\u3092\u76ee\u6307\u3057\u3066\u3044\u308b\u3002\u5de5\u82b8\u54c1\u5916\u89b3\u306e\u7f8e\u9e97\u306a\u6a21\u69d8\u3084\u5f62\u72b6\u3092\u52b9\u7387\u7684\u306b\u30c7\u30b8\u30bf\u30eb\u30b3\u30f3\u30c6\u30f3\u30c4\u5316\u3059\u308b\u305f\u3081\u306e\u6280\u8853\u3068\u3001\u305d\u308c\u3092\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fb\u30b0\u30e9\u30d5\u30a3\u30af\u30b9(\u4ee5\u4e0bCG)\u3068\u3057\u3066\u52b9\u679c\u7684\u306b\u8868\u73fe\u3059\u308b\u305f\u3081\u306e\u6280\u8853\u3092\u7814\u7a76\u3057\u3001\u4f1d\u7d71\u7684\u5de5\u82b8\u54c1\u3092\u4e16\u754c\u5e02\u5834\u3067\u62e1\u8ca9\u3059\u308b\u3053\u3068\u3092\u652f\u63f4\u3059\u308b\u3002<\/p>\n<p>[slideshare id=97568020&#038;doc=texturesynthesis4traditionalcrafts-180519013704]<\/p>\n<h2>\u7814\u7a76\u958b\u767a\u6210\u679c\u30ea\u30b9\u30c8<\/h2>\n<h3>\u67fb\u8aad\u4ed8\u304d\u53e3\u982d\u767a\u8868\u8ad6\u6587\uff08\u5370\u5237\u7269\u3092\u542b\u3080\uff09\u30ea\u30b9\u30c8<\/h3>\n<ol>\n<li>Zhiyu CHEN, Shogo Muramatsu and Yoshito ABE, &#8220;Fast Image Super-Resolution via Multiple Directional Transforms,&#8221; Proc. of 2016 IEEE International Conference on Image Processing (ICIP), pp.1434-1438, DOI: 10.1109\/ICIP.2016.7532595, (2016\u5e749\u670828\u65e5)<\/li>\n<\/ol>\n<h3>\u53e3\u982d\u767a\u8868\u30ea\u30b9\u30c8<\/h3>\n<ol>\n<li>\u77f3\u4e95\u96c5\u57fa\u3001\u6751\u677e\u6b63\u543e\u3001\u9673\u667a\u96e8\u3001\u963f\u90e8\u6dd1\u4eba\uff1a\u201c\u5b66\u7fd2\u8f9e\u66f8\u306b\u3088\u308b\u939a\u8d77\u9285\u5668\u30c6\u30af\u30b9\u30c1\u30e3\u306e\u8d85\u89e3\u50cf\u306b\u95a2\u3059\u308b\u691c\u8a0e\u201d\u30012015\u5e74\u6620\u50cf\u30e1\u30c7\u30a3\u30a2\u51e6\u7406\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\uff08\u4fee\u5584\u5bfa\uff09\uff082015\u5e7411\u670819\u65e5\uff09<\/li>\n<li>\u6822\u68ee\u7fd4\u592a\u3001\u6751\u677e\u6b63\u543e\u3001\u963f\u90e8\u6dd1\u4eba\uff1a\u201c\u7573\u8fbc\u307f\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u3092\u7528\u3044\u305f\u939a\u8d77\u9285\u5668\u30c6\u30af\u30b9\u30c1\u30e3\u753b\u50cf\u306e\u5206\u985e\u201d\u3001\u5e73\u621028\u5e74\u5ea6\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u4fe1\u8d8a\u652f\u90e8\u5927\u4f1a\uff08\u9577\u5ca1\u6280\u8853\u79d1\u5b66\u5927\u5b66\uff09\uff082016\u5e7410\u67088\u65e5\uff09<\/li>\n<li>\u6822\u68ee\u7fd4\u592a\u3001\u6751\u677e\u6b63\u543e\u3001\u963f\u90e8\u6dd1\u4eba\uff1a\u201c\u8ee2\u79fb\u5b66\u7fd2\u306b\u3088\u308b\u939a\u8d77\u9285\u5668\u30c6\u30af\u30b9\u30c1\u30e3\u306e\u5408\u6210\u30d1\u30e9\u30e1\u30fc\u30bf\u63a8\u5b9a\u201d\u3001\u5e73\u621028\u5e74\u5ea6\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a\uff08\u540d\u57ce\u5927\u5b66\uff09\uff082017\u5e743\u670822\u65e5\uff09<\/li>\n<li>\u6822\u68ee\u7fd4\u592a\uff0c\u4e2d\u91ce\u6c38\u4eba\uff0c\u9577\u5c71\u667a\u53f8\uff0c\u6751\u677e\u6b63\u543e\uff0c\u963f\u90e8\u6dd1\u4eba\uff1a&#8221;\u4f1d\u7d71\u7684\u5de5\u82b8\u54c1\u306eBRDF\u5727\u7e2e\u30bb\u30f3\u30b7\u30f3\u30b0\u201d\uff0c\u5e73\u621029\u5e74\u5ea6\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a\uff08\u6771\u4eac\u96fb\u6a5f\u5927\u5b66\uff09(2018\u5e743\u670821\u4e8c\u5024)<\/li>\n<li>\u6822\u68ee\u7fd4\u592a\uff0c\u5927\u7af9\u52a0\u5ec9\uff0c\u6751\u677e\u6b63\u543e\uff0c\u963f\u90e8\u6dd1\u4eba\uff1a\u201dDCGAN\u3092\u5229\u7528\u3057\u305f\u4f1d\u7d71\u7684\u5de5\u82b8\u54c1\u306e\u30c6\u30af\u30b9\u30c1\u30e3\u5408\u6210\u201d\uff0c\u5e73\u621029\u5e74\u5ea6\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u7dcf\u5408\u5927\u4f1a\uff08\u6771\u4eac\u96fb\u6a5f\u5927\u5b66\uff09(2018\u5e743\u670821\u65e5)<\/li>\n<\/ol>\n<h2>\u88c5\u7f6e\u30ea\u30b9\u30c8<\/h2>\n<ul>\n<li>GPU\u8a08\u7b97\u6a5f<br \/>\n\u88fd\u54c1\u578b\u756a: HPCT R110gs<br \/>\nCPU: Intel Xeon E5-1650v3(3.50GHz, 6Core, 15M Cache, TDP 140W)<br \/>\nMemory: 64GB(DDR4-2133 R-DIMM 16GB\u00d74)<br \/>\nSSD: 480GB Intel S3510 Series SSD<br \/>\nHDD: 1TB Seagate SATA HDD<br \/>\nVGA: ASPEED AST24000 BMC<br \/>\nGPGPU: NVIDIA TESLA K80<br \/>\nODD: USB \u5916\u4ed8\u3051DVD-MULTIDRIVE<br \/>\nNetwork: Dual Ports Gigabit Ethernet<br \/>\nCASE: 1U\u30e9\u30c3\u30af\u30de\u30a6\u30f3\u30c8\u578b<br \/>\nPSU: 1400W High-efficiency AC power supply<br \/>\nOS: Ubuntu 14.04<\/li>\n<li>\u958b\u767a\u7528\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2<br \/>\nMATLAB<br \/>\nSimulink<br \/>\nComputer Vision System Toolbox<br \/>\nDSP System Toolbox<br \/>\nGlobal Optimization Toolbox<br \/>\nImage Processing Toolbox<br \/>\nMATLAB Coder<br \/>\nNeural Network Toolbox<br \/>\nOptimization Toolbox<br \/>\nParallel Computing Toolbox<br \/>\nSignal Processing Toolbox<br \/>\nStatistics and Machine Learning Toolbox<br \/>\nMATLAB Compiler<br \/>\nMATLAB Compiler SDK<\/li>\n<li>\u8a08\u6e2c\u7528PC<br \/>\n\u88fd\u54c1\u578b\u756a: NEXTGEAR-MICRO im570PA4-W7D<br \/>\nCPU: Intel Core i7-6700K (4.00GH, 4Core, 8M Cache)<br \/>\nMemory: 32GB(DDR402133 PC4-17000, 16GB\u00d72)<br \/>\nSSD: 256GB SSD (SanDisk X400 Series)<br \/>\nHDD: 2TB (7200rpm\/ 6Gpbs\u5bfe\u5fdc)<br \/>\nGraphics: NVIDIA GeForce GTX1080\/8GB (DisplayPort\u00d73\/DVI-D)<br \/>\nPSU: 700W<br \/>\nOS: Windows 7 Professional\u00a064\u30d3\u30c3\u30c8<br \/>\n\u30e2\u30cb\u30bf iiyama ProLite XUB2790HS \u00d72<\/li>\n<li>\u8a08\u6e2c\u88c5\u7f6e<br \/>\n\u8868\u9762\u53cd\u5c04\u30a2\u30ca\u30e9\u30a4\u30b6\u30fc\uff1a\u30ad\u30e4\u30ce\u30f3\u88fdRA-532H<br \/>\n2\u6b21\u5143\u8272\u5f69\u8f1d\u5ea6\u8a08: \u30ea\u30b3\u30fc\u88fdCV-10A<br \/>\n\u30d7\u30ed\u30b8\u30a7\u30af\u30bf\u30fc: \u30ad\u30e4\u30ce\u30f3\u88fdC10-WDB<\/li>\n<\/ul>\n<h2>\u30ea\u30f3\u30af<\/h2>\n<ul>\n<li><a href=\"http:\/\/www.iri.pref.niigata.jp\/randd\/kenh28.html\">\u65b0\u6f5f\u770c\u5de5\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240<\/a><\/li>\n<\/ul>\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>\u4f1d\u7d71\u7684\u5de5\u82b8\u54c1\u306e\u4e16\u754c\u8ca9\u58f2\u6226\u7565\u3092\u652f\u63f4\u3059\u308b\u305f\u3081\u306e\u30d0\u30fc\u30c1\u30e3\u30eb\u30b7\u30e7\u30a6\u30b1\u30fc\u30b9\u306e\u7814\u7a76\u958b\u767a &nbsp; \u53d7\u8a17\u7814\u7a76\uff1a\u7dcf\u52d9\u7701\u3000\u6226\u7565\u7684\u60c5\u5831\u901a\u4fe1\u7814\u7a76\u958b\u767a\u63a8\u9032\u4e8b\u696d\uff08152304003\uff09 \u59d4\u8a17\u8005\uff1a\u7dcf\u52d9\u7701 \u7814\u7a76\u53c2\u753b\u6a5f\u95a2\uff1a\u65b0\u6f5f\u770c\u5de5\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240\u3001\u65b0 &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/projects\/traditionalcrafts\" class=\"more-link\"><span class=\"screen-reader-text\">&#8220;\u4f1d\u7d71\u5de5\u82b8&#8221; \u306e<\/span>\u7d9a\u304d\u3092\u8aad\u3080<\/a><\/p>\n","protected":false},"author":1,"featured_media":872,"parent":17,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-125","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/pages\/125","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/comments?post=125"}],"version-history":[{"count":19,"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/pages\/125\/revisions"}],"predecessor-version":[{"id":1542,"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/pages\/125\/revisions\/1542"}],"up":[{"embeddable":true,"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/pages\/17"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/media\/872"}],"wp:attachment":[{"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/media?parent=125"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}