We present a novel fuzzy region-based hidden Markov model (frbHMM) for unsupervised partial-volume classification in brain magnetic resonance images (MRIs). The primary contributio...
Recently, we proposed marginal space learning (MSL) as
a generic approach for automatic detection of 3D anatom-
ical structures in many medical imaging modalities. To
accurately...
ct A very fast, low complexity algorithm for resolution scalable and random access decoding is presented. The algorithm is based on AGP (Alphabet and Group Partitioning) [1], where...
Reconstructing the 3D shape of human faces is an intensively researched topic. Most approaches aim at generating a closed surface representation of geometry, i.e. a mesh, which is...
Abstract. The first step in various computer vision applications is a detection of moving objects. The prevalent pixel-wise models regard image pixels as independent random process...