Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
529973 | Journal of Visual Communication and Image Representation | 2012 | 19 Pages |
While researchers strive to improve automatic face recognition performance, the relationship between image resolution and face recognition performance has not received much attention. This relationship is examined systematically and a framework is developed such that results from super-resolution techniques can be compared. Three super-resolution techniques are compared with the Eigenface and Elastic Bunch Graph Matching face recognition engines. Parameter ranges over which these techniques provide better recognition performance than interpolated images is determined.
► We evaluate the impact of image resolution on face recognition performance. ► We evaluate the impact of super-resolution on face recognition performance. ► Three super-resolution methods are compared with common face recognition engines. ► We provide an evaluation framework to conduct a resolution impact analysis. ► Super-resolution improves recognition with low-resolution and noisy facial images.