We present a demonstrated and commercially viable self-tracker, using robust software that fuses data from inertial and vision sensors. Compared to infrastructurebased trackers, s...
This paper describes an experimental investigation into the relationship of delay to user performance in 3D object placement. In the first experiment, 10 participants performed a ...
Benjamin Watson, Neff Walker, Peter Woytiuk, Willi...
This volume is intended to help advance the field of artificial neural networks along the lines of complexity present in animal brains. In particular, we are interested in examin...
This paper presents an image-based walkthrough technique where reference images are sparsely sampled along a path. The technique relies on a simple user interface for rapid modeli...
Shachar Fleishman, Baoquan Chen, Arie E. Kaufman, ...
We present a framework for fast and accurate collision detection for haptic interaction with polygonal models. Given a model, we pre-compute a hybrid hierarchical representation, ...
Arthur D. Gregory, Ming C. Lin, Stefan Gottschalk,...