IntroductionThis short project intended to evaluate the quality of appearance models. It did so by synthesising thousands of examples from the model and calculating their distances w.r.t. to the model they originated from. The implementation was in C++ and MATLAB. The MATLAB component is public and fully open. Description of the frameworkStep 1: Register data set Discrepancy image of a pair as registration proceeds Step 2: Use registration output to build an appearance model Models are poor and the start, but later sharpen up Step 3: Synthesise from the model   Obtain thousands of images like the above Step 4: Pre-process synthesesCrop the unwanted artefacts if any exist and stretch all images to fit the entire space nicely.Step 5: Calculate shuffle distanceUse the shuffle transform to derive distance for each possible pairing between the model training set and syntheses.Download
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