A Fast Iterative Pursuit Algorithm in Robust Face Recognition Based on Sparse Representation

<table>Recognition under random corruption. Left: (a) test images <span class="inline" id="M161"></span> from ORL database, with random corruption. Top row: 30% of pixels are corrupted, middle row: 60% corrupted, bottom row: 90% corrupted. (b) Estimated sparse coefficients. (c) Reconstructed images. We can see that our algorithm outperforms the original OMP.</table>

Mathematical Problems in Engineering

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Figure 4: A Fast Iterative Pursuit Algorithm in Robust Face Recognition Based on Sparse Representation 