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Depth Estimation using Open Compute Language (OpenCL)

Giovanni Visentini, Amit Gupta
Advanced System Technology, STMicroelectronics Agrate, Italy
International Conference on Latest Computational Technologies (ICLCT’2012), 2012

@article{visentini2012depth,

   title={Depth Estimation using Open Compute Language (OpenCL)},

   author={Visentini, Giovanni and Gupta, Amit},

   year={2012}

}

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3D Video and related technologies like view synthesis, 2D-3D video conversions rely heavily on depth/disparity maps extracted from stereo video content. Innovative Segment-based depth map extraction chain from stereo video content was proposed in [1] giving good trade-off between quality (exactness to the ground truth) and computational complexity. We accelerated this work further by ~150%, both at algorithmic level and by using GP-GPU system (General Purpose processor – Graphics Processing Unit) which is programmed using OpenCL. Our work also compares speedups in terms of cycles consumed GP vs. GPU which goes on to show how GPU can also be utilized for general computations, hence aiding acceleration.
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