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

Kissling, Etan; Mitchell, Kenny; Oskam, Thomas; Gross, Markus

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 commonly 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

Citation

Kissling, E., Mitchell, K., Oskam, T., & Gross, M. (2012, November). Efficient Rasterization for Edge-based 3D Object Tracking on Mobile Devices. Presented at GRAPHInternational Conference on Computer Graphics and Interactive Techniques

• Conference Name: GRAPHInternational Conference on Computer Graphics and Interactive Techniques
• Start Date: Nov 28, 2012
• End Date: Dec 1, 2012
• Online Publication Date: Nov 28, 2012
• Publication Date: 2012
• Deposit Date: Aug 1, 2016
• Publisher: Association for Computing Machinery (ACM)
• Pages: 12:1-12:4
• Series Title: SA '12
• Book Title: SIGGRAPH Asia 2012 Technical Briefs
• ISBN: 978-1-4503-1915-7
• DOI: https://doi.org/10.1145/2407746.2407758
• Keywords: augmented reality, rasterization, pose tracking,
• Public URL: http://researchrepository.napier.ac.uk/Output/321844
• Publisher URL: http://doi.acm.org/10.1145/2407746.2407758