{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

23_aliasing - Sampling Aliasing Mipmaps MIT EECS 6.837...

Info iconThis preview shows pages 1–18. Sign up to view the full content.

View Full Document Right Arrow Icon
Sampling, Aliasing, & Mipmaps
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
MIT EECS 6.837, Durand and Cutler Last Time? 2D Texture Mapping Perspective Correct Interpolation Common Texture Coordinate Projections Bump Mapping • Displacement Mapping • Environment Mapping
Background image of page 2
MIT EECS 6.837, Durand and Cutler Texture Maps for Illumination Also called "Light Maps"
Background image of page 3

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
MIT EECS 6.837, Durand and Cutler Today What is a Pixel? Examples of Aliasing Signal Reconstruction Reconstruction Filters Anti-Aliasing for Texture Maps
Background image of page 4
MIT EECS 6.837, Durand and Cutler What is a Pixel? A pixel is not: – a box – a disk – a teeny tiny little light A pixel is a point – it has no dimension – it occupies no area – it cannot be seen – it can have a coordinate A pixel is more than just a point, it is a sample!
Background image of page 5

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
MIT EECS 6.837, Durand and Cutler More on Samples Most things in the real world are continuous , yet everything in a computer is discrete The process of mapping a continuous function to a discrete one is called sampling The process of mapping a continuous variable to a discrete one is called quantization To represent or render an image using a computer, we must both sample and quantize
Background image of page 6