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SWXS: The Path to Paradise
The video backdrop here is a rough cut of my short film of a road trip across the American Southwest.
Professor of Computing
Kenny is full professor at Edinburgh Napier University in the Institute of Informatics and Digital Innovation
Research Head
Kenny is Senior Research Scientist at Disney Research Edinburgh, The Walt Disney Company Ltd
Papers

 

Efficient Rasterization for Edge-Based 3D Object Tracking on Mobile Devices

Authors: Etan Kissling, Kenny Mitchell, Thomas Oskam, Markus Gross

Abstract

Augmented reality applications on hand-held devices suffer from the limited available processing power. While methods to detect the location of artificially textured markers within the scene are com- monly used, geometric properties of three-dimensional objects are rarely exploited for object tracking. In order to track such geometry efficiently on mobile devices, existing methods must be adapted. By focusing on key behaviors of edge-based models, we present a sparse depth buffer structure to provide an efficient rasterization method. This allows the tracking algorithm to run on a single CPU core of a current-generation hand-held device, while requiring only minimal support from the GPU.

Video

Authors Tech Brief Copy

Slides (19.4MB pptx with videos) & smaller pdf version

Video Results

Bibtex

@article{kissling2012edgerast,
author = {Etan Kissling, Kenny Mitchell, Thomas Oskam, Markus Gross},
title = {Efficient Rasterization for Edge-Based 3D Object Tracking on Mobile Devices},
journal = {proceedings of ACM SIGGRAPH Asia},
volume = {31},
number = {6},
year = {2012},
month = november,
}