Support Vector Machines — OpenCV 2.4.13.7 documentation
Support Vector Machines¶ Originally, support vector machines (SVM) was a technique for building an optimal binary (2-class) classifier. Later the technique was extended to regression and clustering problems. SVM is a partial case of kernel-based methods. It maps feature vectors into a higher-dimensional space using a kernel function and builds an optimal linear discriminating function in this spac
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ColorMaps in OpenCV — OpenCV 2.4.13.7 documentation
http://docs.opencv.org/trunk/doc/py_tutorials/py_feature2d/py_surf_intro/py_surf_intro.html
