Many human action recognition tasks involve data that can be factorized into multiple views such as body postures and hand shapes. These views often interact with each other over ...
In this paper we introduce a framework for instrumenting (“rigging”) characters that are modeled as dynamic elastic bodies, so that their shapes can be controlled by an animat...
Steve Capell, Matthew Burkhart, Brian Curless, Tom...
In this paper, we will present an overview of existing research in the vast area of IVH systems. We will also present our ongoing work on improving the expressive capabilities of I...
Abstract. In this paper we propose a probabilistic framework that models shape variations and infers dense and detailed 3D shapes from a single silhouette. We model two types of sh...
This paper presents a method for markerless human motion capture using a single camera. It uses tree-based filtering to efficiently propagate a probability distribution over pos...