Abstract | ||
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Red-eye and flash-eye defects in still photography continue to cause problems for digital imaging devices. New variants of flash-eye defects have appeared as cameras and cameras sub-systems get smaller in size. This paper describes advanced techniques to improve the detection of flash-eye defects using a novel half-face detector. In addition to improving the detection rate, the inherent symmetries of many of the haar-like classifiers used for such a face detector allow compression of the classifier chain providing benefits for resource constrained consumer electronics devices. |
Year | Venue | Keywords |
---|---|---|
2013 | 2013 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE) | face recognition,image classification,data compression |
Field | DocType | Citations |
Computer vision,Facial recognition system,Object detection,Object-class detection,Computer science,Electronics,Photography,Digital imaging,Artificial intelligence,Data compression,Detector | Conference | 1 |
PageRank | References | Authors |
0.49 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
P. M. Corcoran | 1 | 414 | 82.56 |
Petronel Bigioi | 2 | 43 | 4.76 |
Florin Nanu | 3 | 1 | 0.83 |