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ICIAP
2009
ACM

Red Eye Detection through Bag-of-Keypoints Classification

11 years 4 months ago
Red Eye Detection through Bag-of-Keypoints Classification
Abstract. Red eye artifacts are a well-known problem in digital photography. Small compact devices and point-and-click usage, typical of non-professional photography, greatly increase the likelihood for red eyes to appear in acquired images. Automatic detection of red eyes is a very challenging task, due to the variability of the phenomenon and the general difficulty in reliably discerning the shape of eyes. This paper presents a method for discriminating between red eyes and other objects in a set of red eye candidates. The proposed method performs feature-based image analysis and classification just considering the bag-of-keypoints paradigm. Experiments involving different keypoint detectors/descriptors are performed. Achieved results are presented, as well as directions for future work.
Sebastiano Battiato, Mirko Guarnera, Tony Meccio,
Added 24 Nov 2009
Updated 07 Apr 2013
Type Conference
Year 2009
Where ICIAP
Authors Sebastiano Battiato, Mirko Guarnera, Tony Meccio, Giuseppe Messina
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