Volume : II, Issue : X, October - 2013

Parallel Algorithm Using Opencl for Depth Estimation of Image

R Arokia Priya, Shreedhar Gyandeo Pawar

Abstract :

Depth maps have a tremendous importance in Robot Navigation, Real–time tracking of scenes, 2D–3D conversions needed for gaming as well as in animated movies and much more. A fairly good implementation of Segment based Depth Estimation chain using GPU(Graphic Processing Unit) computing has been presented in the work by G. Visentini and A. Gupta (2012), but it lacks in the segmentation step to be implemented in parallel and is a bit naive in other steps like bilateral filtering and Stereo Matching in terms of harnessing the GPU power optimally. We present a novel parallel implementation of graph based segmentation using the Boruvka’s Minimum Spanning tree(MST) algorithm in Open Compute Language(OpenCL). We have optimized the GPU performance by making a significant use of shared or local memory of the GPU

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Article: Download PDF   DOI : 10.36106/ijsr  

Cite This Article:

R Arokia Priya, Shreedhar Gyandeo Pawar / Parallel Algorithm Using Opencl for Depth Estimation of Image / International Journal of Scientific Research, Vol.2, Issue.10 October 2013

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