February-March 2005


This 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 framework

Step 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 syntheses

Crop the unwanted artefacts if any exist and stretch all images to fit the entire space nicely.

Step 5: Calculate shuffle distance

Use the shuffle transform to derive distance for each possible pairing between the model training set and syntheses.



There are several related publications in the research workspace and the publications page.

This page was last modified on March 1st, 2005 Maintained by Roy Schestowitz