A widely used approach for locating points on deformable objects in images is to generate
feature response images for each point, and then to fit a shape model to these response
images. We demonstrate that Random Forest regression-voting can be used to generate
high quality response images quickly. Rather than using a generative or a discriminative
model to evaluate each pixel, a regressor is used to cast votes for the optimal position of
each point. We show that this leads to fast and accurate shape model matching when …

A widely used approach for locating points on deformable objects is to generate feature
response images for each point, then to fit a shape model to the response images. We
demonstrate that Random Forest regression can be used to generate high quality response
images quickly. Rather than using a generative or a discriminative model to evaluate each
pixel, a regressor is used to cast votes for the optimal position. We show this leads to fast
and accurate matching when combined with a statistical shape model. We evaluate the …