This paper discusses a new method for capturing the complete appearanceof both synthetic and realworld objects andscenes,representing this information, and then using this represe...
Steven J. Gortler, Radek Grzeszczuk, Richard Szeli...
Detection of objects of a given class is important for many applications. However it is difficult to learn a general detector with high detection rate as well as low false alarm r...
This paper presents a unified framework for model-based and model-free reconstruction of people from multiple camera views in a studio environment. Shape and appearance of the rec...
We present a novel range sensing method that is capable of constructing accurate 3D models of specular objects. Our method utilizes a new range imaging concept called multi-peak r...
Abstract. We are interested in the relationship between learning efficiency and representation in the case of supervised neural networks for pattern classification trained by conti...