We adopt the same mathematical model of a set M of probability measures as is central to the theory of coherent imprecise probability. However, we endow this model with an objecti...
Object Segmentation is an important step in object reconstruction from point cloud data of complex urban scenes and in applications to virtual environment. This paper focuses on s...
Xiaojuan Ning, Xiaopeng Zhang, Yinghui Wang, Marc ...
In design, multiple disparate goals must be addressed simultaneously. It is the thesis of this work that problems in two-dimensional layout design can be solved by collaboration a...
We present an efficient method for learning part-based object class models from unsegmented images represented as sets of salient features. A model includes parts' appearance...
In this paper, we present a new model of snow accumulation and stability for computergraphics. Our contribution is divided into two major components, each essential for modelling ...