Tag Archives: Computer Vision

Texture Synthesis

What in this post is actually part of my computational photography homework, because I’m recently preparing for interviews, so for reviewing it, I re-implemented this method. WHAT IS IT Texture synthesis is another very interesting application of image processing. What it does is, given a texture sample, generate new texture that is similar with the […]

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SURF

SURF (Speeded Up Robust Features), is a feature detector, we talked about SIFT before, and SURF is sort of¬†derivative of SIFT.¬†SURF is based on sums of 2D Haar wavelet responses and makes an efficient use of integral images. I’ll not represent the whole story of SURF, because its idea is very similar to SIFT, so […]

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