Massively Parallel Computing Techniques: a Step Towards Real Time High Definition AR Applications

Thiago S. M. C. de FariasJoão Marcelo X. N. TeixeiraGabriel F. de AlmeidaVeronica TeichriebJudith Kelner

Single processor technology has been evolving across last decades, but due to physical limitations of chip manufacturing process, the industry is pursuing alternatives to sustain computational power growth, including the creation of multi-core systems. Parallel computing targets problems that are scalable and possibly distributed, dividing the problem into smaller pieces. This approach may be explored to satisfy real time constraints required by augmented reality algoritms. Its use may vary from realistic generation of virtual scenes to 3D reconstructions and image processing to perform optimized tracking. In this paper, the labeling algorithm, commonly used in the augmented reality pipeline, is implemented using a massively parallel paradigm. The implementation is able to provide satisfactory speed up improvements using CUDA, NVIDIA's architecture for GPU programming. The aim of this paper is not to present a new technology, but to show the great improvements that can be obtained by applying it in computer vision and augmented reality applications.

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