David Molyneaux

TL;DR: A system for accurate real-time mapping of complex and arbitrary indoor scenes in variable lighting conditions, using only a moving low-cost depth camera and commodity graphics hardware, which fuse all of the depth data streamed from a Kinect sensor into a single global implicit surface model of the observed scene in real- time.

TL;DR: Novel extensions to the core GPU pipeline demonstrate object segmentation and user interaction directly in front of the sensor, without degrading camera tracking or reconstruction, to enable real-time multi-touch interactions anywhere.

TL;DR: In this article, the authors describe a direct user-interaction method for 3D augmented reality, which comprises displaying a 3D AR environment having a virtual object and a real first and second objects controlled by a user, tracking the position of the objects in 3D using camera images, displaying the virtual object on the first object from the user's viewpoint, and enabling interaction between the second object and the virtual objects when the first and the second objects are touching.

TL;DR: In this paper, a distributed approach for providing an augmented reality environment in which the environmental mapping process is decoupled from the localization processes performed by one or more mobile devices is described.

TL;DR: KinFusion as discussed by the authors is a system that takes live depth data from a moving Kinect camera and in real-time creates high-quality, geometrically accurate, 3D models, allowing a user holding a Kinect camera to rapidly scan and create a fused 3D model of the whole room and its contents within seconds.