In point based rendering techniques, more super samples in a pixel area give lower variance. In other words, we expect improved quality of the image with super sampling. But we can not always estimate the required number of samples, for example in the case that there is an extremely bright extremely small region at a pixel.In this research, we introduce a new concept for rendering called a Micro Point which was inspired by from quantum mechanics. Micro Points handle high frequency components in a scene correctly without super sampling. Today it takes much computational cost to render stars in the night sky, hair, or objects whose area is smaller than a pixel by existing methods. By using Micro Points, the calculation cost will be improved tremendously for such cases.

MPBS(Deep Shadow Mapと分配レイトレーシングの限界)

 Deep Shadow Mapは、所詮、ポイントサンプリングのため、カメラ座標系から見えるオブジェクト全てに対して、正確に光が当たる保証がありません。このアーティクルを回避する手法として、各種の震度バイアス法、オクルーダ近似法が提案されていますが、結局、ボカしているだけなので、正確でSharpな影を表現する手段は、現状でレイトレーシング以外に存在せず、一方、分配レイトレーシングによるソフトシャドウの計算には膨大な時間が掛かることが指摘されています。MicroPoint based Shadow(MPBS)によるレンダリングは、こうした問題を解消します。


 Micro Point - it will be classified into modern rendering technique, and this new rendering technique generates aliasing-free images without super sampling by normalization a high frequency component into a low frequency component. Due to Micro Point algorithm’s simplicity and affinity for micro-polygon and point cloud, Micro Point is expected to give us a lot of novel aspects in computer generated image area. In this paper, we discuss the shadowing process by existing methods, and we propose a new shadowing algorithm: Micro Point Based Shadow. By using our new algorithm, we also show Micro Point method generates images with clear and sharp shadow and shade.  


現代レンダリング(Modern Rendering)

領域ー領域型(Area to Area)






古典レンダリング(Classical Rendering)

ポイントーポイント型 (Point to Point)

       Z buffer


      Ray Tracing


       Micro Polygon

       Point based


  Photon Map

領域ーポイント型(Area to Point)

  Beam Tracing

      Cone Tracing


  ↳ GRALAB blog