期刊
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
卷 23, 期 1, 页码 75-93出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jvcir.2011.06.004
关键词
Face recognition; Super-resolution; Image resolution; Evaluation framework; Surveillance; Robust optical flow; Hallucination; Principal component analysis; Eigenface; Elastic bunch graph matching
资金
- Australian Government Department of the Prime Minister and Cabinet through the National Security Science and Technology Unit
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. (C) 2011 Elsevier Inc. All rights reserved.
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