A MAP approach to landmarking
G.M. Beumer, Raymond N. J. Veldhuis · University of Twente Research Information · 2007
Landmarking can be seen as calculating the maximum a posteriori probability of a certain set of landmarks given a certain image (texture) which contains a face. The MLLL plus BILBO algorithm by Beumer et al [1] is one method. An improvement to this existing landmarking algorithm, MLLL in combination with BILBO, is presented. MLLL uses a likelihood ratio based similarity score to mark candidate landmark locations. BILBO uses a statistical method on the shape to correct outliers. A theoretical analysis of this intuitive approach shows new insight. In order to verify this theory we performed a simple experiment. The results show that using the new method performs significantly better than when only using the similarity score method (MLLL) in combination with outlier removal (BILBO). 1