libagf is a library of variable-bandwidth kernel estimators for statistical classification, PDF estimation, and interpolation/non-linear regression using both Gaussian kernels and k-nearest-neighbours. Statistical classification allows the use of a pre-trained model for considerable speed gains. Also included are clustering algorithms. It includes command line executables as well as easy-to-use libraries.
Orfeo Toolbox (OTB) is a high resolution remote sensing image processing library. It contains a set of algorithmic components which allow the user to capitalize on methodological know how, and therefore use an incremental approach to profit from the results of methodological research. OTB is made of a set of basic elements (a C++ class API) and utilities (independent programs built upon the base API).
fundest is a C/C++ library for robust, non-linear fundamental matrix estimation. The fundamental matrix is a singular 3x3 matrix which relates corresponding points in two views according to the epipolar constraint. fundest computes an estimate which minimizes an appropriate non-linear cost function defined on matching points (currently either Sampson error or symmetric distance of points from their epipolar lines) and includes robust regression techniques for coping with outliers (i.e., mismatched point pairs).
SIP provides image processing, pattern recognition, and computer vision routines for SciLab, a Matlab-like matrix-oriented programming environment. SIP is able to read/write images in almost 90 major formats, including JPEG, PNG, BMP, GIF, FITS, and TIFF. It includes routines for filtering, segmentation, edge detection, morphology, curvature, fractal dimension, distance transforms, multiscale skeletons, and more.
Madagascar is a software package for multidimensional data analysis and reproducible computational experiments. Its mission is to provide a convenient and powerful environment and a convenient technology transfer tool for researchers working with digital image and data processing in geophysics and related fields. Technology developed using the Madagascar project management system is transferred in the form of recorded processing histories, which become "computational recipes" to be verified, exchanged, and modified by users of the system.