This paper provides a brief overview of an implicit training method used for teaching autonomous agents to represent humans in 3D Virtual Worlds without any explicit training effo...
Anton Bogdanovych, Marc Esteva, Simeon J. Simoff, ...
Understanding complex 3D virtual models can be difficult, especially when the model has interior components not initially visible and ancillary text. We describe new techniques fo...
Henry Sonnet, M. Sheelagh T. Carpendale, Thomas St...
Virtual Institutions are Virtual Worlds with normative regulation of participants’ interactions. This paradigm is based on normative multiagent systems and is technologically su...
Today, the development of a VR application is still a long and difficult task. You need to be skilled in Virtual Reality (VR) technology to be able to develop a Virtual World. The...
Wesley Bille, Olga De Troyer, Frederic Kleinermann...
In this paper, we present a stochastic algorithm by effective Markov chain Monte Carlo (MCMC) for segmenting and reconstructing 3D scenes. The objective is to segment a range image...