In this paper we present a novel shape descriptor based on shape context, which in combination with hierarchical distance based hashing is used for word and graphical pattern base...
This paper advocates an implicit-surface representation of generic 3?D surfaces to take advantage of occluding edges in a very robust way. This lets us exploit silhouette constrai...
Statistical shape analysis has become of increasing interest to the neuroimaging community due to its potential to precisely locate morphological changes and thus potentially discr...
Abstract. Analysis of shape variability is important for diagnostic classification and understanding of biological processes. We present a novel shape analysis approach based on a ...
Paul A. Yushkevich, Stephen M. Pizer, Sarang C. Jo...
This paper extends the idea of classification schemes for static surface curvature into the temporal domain. We seek to identify regions in sequences of depth data that exhibit va...