In this paper we present an efficient and general approach to computing and integrating 3D distance fields directly from multiple range images. We compute normal and confidence va...
Abstract. Architectural description languages are a useful tool for modmplex software systems at a high level of abstraction and, if based on formal methods, for enabling the early...
In this paper we use a variational Bayesian framework for color image segmentation. Each image is represented in the L*u*v color coordinate system before being segmented by the va...
The topic of this communication is shape-similarity search for 3D-mesh models. We present and evaluate a composite 3D-shape feature vector (DESIRE), which is formed using depth bu...
Suitable programming models and associated supporting infrastructures are required to deal with large software systems dived in complex and dynamic network environments. Here, wit...