{"type":"rich","author_url":"https://blog.hatena.ne.jp/hanecci/","blog_title":"OLD hanecci\u2019s blog : \u65e7 \u306f\u306d\u3063\u3061\u30d6\u30ed\u30b0","version":"1.0","blog_url":"https://hanecci.hatenadiary.org/","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/h/hanecci/20130104/20130104204432.jpg","description":"Principal Component Analysis (PCA) is used for compressing data of precomputed radiance transfer (PRT). In this article, I will explain how we can use PCA for computer graphics data by using slides of CPCA in SIGGRAPH 2003. First, we think about a 2d surfaces with 2d normals. The number of surface p\u2026","published":"2013-01-04 00:00:00","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fhanecci.hatenadiary.org%2Fentry%2F20130104%2Fp1\" title=\" Principal Component Analysis (PCA) to compress computer graphics data - OLD hanecci\u2019s blog : \u65e7 \u306f\u306d\u3063\u3061\u30d6\u30ed\u30b0\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","url":"https://hanecci.hatenadiary.org/entry/20130104/p1","categories":[],"width":"100%","provider_name":"Hatena Blog","author_name":"hanecci","height":"190","provider_url":"https://hatena.blog","title":" Principal Component Analysis (PCA) to compress computer graphics data"}