Takeo Kanade

TL;DR: In this paper, a combination of topological and metric mapping is used to encode the coarse topology of the route as well as detailed metric information required for accurate localization, which achieves an average localization error of 2.7 m over this route.

TL;DR: This paper describes prototype Image Overlay systems and initial experimental results from those systems, and describes how the images are transformed in real-time so they appear to the user to be an integral part of the surrounding environment.

TL;DR: This work presents an approach for modeling and rendering a dynamic, real-world event from an arbitrary viewpoint, and at any time, using images captured from multiple video cameras, to compute a novel image from any viewpoint in the 4D space of position and time.

TL;DR: WYSIWYF display as discussed by the authors provides correct visual/haptic registration using a vision based object tracking technique and a video keying technique so that what the user can see via a visual interface is consistent with what he/she can feel through a haptic interface using Chroma Keying, a live video image of the user's hand is extracted and blended with the graphic scene of the virtual environment.

TL;DR: It is demonstrated, using data from a human femur, that discrete-point data sets selected using the method are superior to those selected by human experts in terms of the resulting pose-refinement accuracy.