Figure 6

Comparison of augmented AAMs to non-holistic methods. Subset AAM corresponds to non-holistic method of standard AAMs applied on its subset of well-trackable landmarks (torso and upper leg, cf. Subsection 3.2), as presented in [17, 30, 34]. Local tracking denotes the non-holistic data-driven tracking approach of [16] applied on its subset of well-trackable landmarks (lower leg, cf. Subsection 3.3). On their specific landmark subsets, non-holistic methods are superior to augmented AAMs. However, augmented AAMs incorporate all landmarks in a consistent framework and also provide reliable positions for landmarks which are not covered by any of the non-holistic approaches.