Search results for kenny mitchell

We propose a semi-analytic solution to the problem where the spherical silhouette of the visibility is computed using a search over a 4D dual mesh of the scene. Once computed, we are able to semi-analytically integrate visibility-masked spherical functions along the visibility silhouette, instead of over the entire hemisphere.

Anamorphosis for 2D displays can provide viewer centric perspective viewing, enabling 3D appearance, eye contact and engagement, by adapting dynamically in real time to a single moving viewer’s viewpoint, but at the cost of distorted viewing for other viewers. We present a method for constructing non-linear projections as a combination of anamorphic rendering of selective objects whilst reverting to normal perspective rendering of the rest of the scene. Our study defines a scene consisting of five characters, with one of these characters selectively rendered in anamorphic perspective.

We propose a solution for presenting movie quality graphics to the user while still allowing the sense of presence afforded by free viewpoint head motion.

We present six prototype applications that explore and develop Augmented Creativity in different ways, cultivating creativity through AR interactivity.

We propose a framework for motion capture using sparse multi-modal sensor sets, including data obtained from optical markers and inertial measurement units.

In this paper, we present a novel approach to author vegetation cover of large natural scenes.

Surround Haptics is a new tactile technology that uses a low-resolution grid of inexpensive vibrating actuators to generate high-resolution, continuous, moving tactile strokes on human skin [1]. The user would not feel the discrete tactile pulses and buzzes that are so common today, but rather a smooth tactile motion, akin to what we feel when someone drags a finger across our skin.

We investigate the advantages of a stereo, multi-spectral acquisition system for material classi cation in ground-level landscape images.

We present a theoretical analysis of error of many combinations of Monte Carlo estimators used in image synthesis.

We propose a simple analysis model for view sampling and an adaptive, online sampling algorithm tailored to light field depth reconstruction.