We present a complete system for the purpose of automatically assembling 3D pots given 3D measurements of their fragments commonly called sherds. A Bayesian approach is formulated...
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pri...
We propose a 3D modeler for supporting in-situ indoor modeling effectively. The modeler allows a user easily to create models from a single photo by interaction techniques taking a...
Exaggeration is often used in art and entertainment to capture the interest and attention of an audience. We present an approach to automatically exaggerate the distinctive featur...
In this paper we explore the interlink between temporally dense view-based object recognition and sparse image representations with local keypoints. The temporal component is an a...