By Engin Tola, Vincent Lepetit, Pascal Fua at École Polytechnique Fédérale de Lausanne EPFL
|14 Feb 2011||Helen Chen||
We show that it is possible to estimate depth from two wide baseline images using a dense descriptor. Our local descriptor, called DAISY, is very fast and efficient to compute. It depends on histograms of gradients like SIFT and GLOH but uses a Gaussian weighting and circularly symmetrical kernel. This gives us our speed and efficiency for dense computations. We compute 200-length descriptors for every pixel in an 800x600 image in less than 5 seconds.