Back to Tutorial pages
Viewing shape and appearance models in 2D
Walking through contributions of principle componentsl.
Mean shape
The dots on the right represent the mean positions of the landmarks averaged over all the images in the model. These points mean more to us once they are joined by lines (see above screenshot). Capturing that higher meaning requires more analysis or, as in this case, human interaction (when we created the template).
Note that the point models had been normalised to the same scale, same rotation and same translational position.
|
|
Variations along the principle component axis
Sliding (walking) along an axis can, perhaps, be visualised
Note that the point models had been normalised to the same scale, same rotation and same translational position.
Left, minus one standard deviation along PC1. Middle, mean shape. Right, plus one standard deviation along PC1.
|
<wikiflv width="300" height="300" logo="false" loop="true" background="white">Movie-2012-02-15t10-23-17.flv|Movie-2012-02-15t10-23-17 First.png</wikiflv>
|
Movie-2012-02-15t10-23-17_First.png