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...
Diffeomorphic non-rigid registration of shapes is a very difficult problem. We use the point-set representation for shapes since statistical shape analysis in this space is relati...
Hongyu Guo, Anand Rangarajan, Sarang C. Joshi, Lau...
Multi-class binary symbol classification requires the use of rich descriptors and robust classifiers. Shape representation is a difficult task because of several symbol distortions...
In Computer Vision, two-dimensional shape classifcation is a complex and well studied topic, often basic for three-dimensional object recognition. Object contours are a widely cho...
To become robust, a tracking algorithm must be able to support uncertainty and ambiguity often inherently present in the data in form of occlusion and clutter. This comes usually ...