I've always had a kind of amateur's fascination with computational geometry, and computational geometry problems do arise in image processing from time to time. I've had just enough experience to know how devilishly difficult it can be to robustly compute things that seem intuitively easy.
For the past couple of years I've had the pleasure of talking every so often with Damian Sheehy, a computational geometry expert and software developer on the MATLAB team. I always learn something interesting from him, so I particularly enjoyed seeing his guest blog post today on Loren's Art of MATLAB. He provides an interesting perspective on when you might and might not want to compute certain quantities using exact arithmetic, and he shows off some of the new computational geometry features in R2009a. I encourage you to take a look. And check back again next week; he's got another post planned.
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Steve Eddins is a software development manager in the MATLAB and image processing areas at MathWorks. Steve coauthored Digital Image Processing Using MATLAB. He writes here about image processing concepts, algorithm implementations, and MATLAB.
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