@inproceedings{4c8af24f434b4a4e8837e0891241686d,
title = "Fast GPU implementation of large scale dictionary and sparse representation based vision problems",
abstract = "Recently, Computer Vision problems like Face Recognition and Super-Resolution solved using sparse representation based methods with large dictionaries have shown state-of-the-art results. However such methods are computationally prohibitive for typical CPUs, especially for a large dictionary size. We present fast implementation of these methods by exploiting the massively parallel processing capabilities of a GPU within a CUDA framework, owing to its easy off-the-shelf availability and programmer friendliness. We provide details of system level design, memory management and implementation strategies. Further, we integrate the solution to the preferred scientific computational platform - MATLAB.",
keywords = "CUDA, Face recognition, GPU-based computing, Sparse representation, Super-resolution",
author = "Pradeep Nagesh and Rahul Gowda and Baoxin Li",
year = "2010",
month = nov,
day = "8",
doi = "10.1109/ICASSP.2010.5495526",
language = "English (US)",
isbn = "9781424442966",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "1570--1573",
booktitle = "2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings",
note = "2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 ; Conference date: 14-03-2010 Through 19-03-2010",
}