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This project forked from michschli/stereo-correspondence
README This program contains an implementation of a feature-based stereovision algorithm relying on a pixel-by-pixel gradient orientation matching strategy. It is written using the Anaconda distribution of Python 2.7, and utilizes the scikit-image for displaying images, computing gradients, and extracting edges. The program also relies heavily on numpy for algebraic calculations. INSTRUCTIONS The program should be accessed through the main file "StereoAnalyser.py", either from the command line with "python StereoAnalyser.py", or imported as a module. If run in the command line, a small text interface is provided. Here, the user is allowed to select a left and right image, from which a disparity map will be computed. If imported as a module, the functionality should be accessed through the function "analyse". The library file Pyramids.py contains various functions related to upsampling and downsampling with a Gaussian filter. Furthermore, a translation of the Thin-Plate Spline interpolation algorithm written by Søren Olsen can be found in Helper.py. CONTACT If there is any problem, please contact me (Michael Schlichtkrull) through my student mail [email protected].
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