Acceleration of profile creation for three-dimensional vector video with GPGPU
In the report the optimization of image similarity metric computation method for three dimensional vector video with general-purpose computations on graphical processor unit (GPGPU) is discussed. The use of stream processors in graphics accelerators and Compute Unified Device Architecture (CUDA) platform allows significant performance gain in comparison to calculations on general-purpose processors, while solving problems of computer vision and image similarity determination. The performance of the GPGPU metric value computation is measured and researched.
Proceedings of the Institute for System Programming, vol. 27, issue 3, 2015, pp. 379-388.
ISSN 2220-6426 (Online), ISSN 2079-8156 (Print).
DOI: 10.15514/ISPRAS-2015-27(3)-27Full text of the paper in pdf Back to the contents of the volume