We present an accurate, interactive silhouette extraction mechanism for texture-based volume rendering. Compared to previous approaches, our system guarantees silhouettes of a use...
We describe a framework for learning an object classifier from a single example. This goal is achieved by emphasizing the relevant dimensions for classification using available ex...
This paper presents a new approach for multi-view object class detection. Appearance and geometry are treated as separate learning tasks with different training data. Our approach...
This paper explores the use of multi-dimensional trees to provide spatial and temporal e ciencies in imaging large data sets. Each node of the tree contains a model of the data in...
Abstract. We describe a framework for training-oriented simulation of temporal bone surgery. Bone dissection is simulated visually and haptically, using a hybrid data representatio...
Dan Morris, Christopher Sewell, Nikolas H. Blevins...