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Recap from Friday

Recap from Friday

Recap from Friday. linear Filtering convolution differential filters filter types boundary conditions. The Frequency Domain. Somewhere in Cinque Terre, May 2005. CS195g: Computational Photography James Hays, Brown, Spring 2010. Slides from Steve Seitz and Alexei Efros. Salvador Dali

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836 views • 67 slides
Recap from Previous Lecture

Recap from Previous Lecture

Recap from Previous Lecture. Tone Mapping Preserve local contrast or detail at the expense of large scale contrast. Changing the brightness within objects or surfaces unequally leads to halos. We are now transitioning to more geometric reasoning about light. Exam 1 Results.

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553 views • 48 slides
Recap from Monday

Recap from Monday

Recap from Monday. Image Warping Coordinate transforms Linear transforms expressed in matrix form Inverse transforms useful when synthesizing images. Stereo and Depth Estimation ( Sz 11). cs129: Computational Photography James Hays, Brown, Spring 2011.

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588 views • 44 slides
Recap of Monday

Recap of Monday

Recap of Monday. Plenoptic function Light fields. High Dynamic Range Images. cs195g: Computational Photography James Hays, Brown, Spring 2010. slides from Alexei A. Efros and Paul Debevec. Problem: Dynamic Range. 1. The real world is high dynamic range. 1500. 25,000. 400,000.

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507 views • 39 slides
High Dynamic Range Images

High Dynamic Range Images

High Dynamic Range Images. cs195g: Computational Photography James Hays, Brown, Spring 2010. slides from Alexei A. Efros and Paul Debevec. Problem: Dynamic Range. 1. The real world is high dynamic range. 1500. 25,000. 400,000. 2,000,000,000. Long Exposure. 10 -6. 10 6.

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569 views • 38 slides

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