Probabilistic models are extensively used in medical image segmentation. Most of them employ parametric representations of densities and make idealizing assumptions, e.g. normal di...
Abstract. A novel approach for model set based object segmentation is described. The proposed method enables the using of a model set to guide the object segmentation. The object s...
Nowadays, many commercial CAD systems are built on proprietary geometric kernels which provide an API containing a set of high level geometric operations (boolean operations, slot...
Mehdi Baba-ali, David Marcheix, Xavier Skapin, Yve...
Object detection and segmentation can be facilitated by the availability of a reference object. However, accounting for possible transformations between the different object views...
This paper proposes a number of improvements to existing work in off line video object segmentation. Object color and motion variance, and histogram-based merging are used to impr...