Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting Faces in Images: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Towards automatic redeye effect removal
Pattern Recognition Letters - Special issue: Colour image processing and analysis
An Efficient Automatic Redeye Detection and Correction Algorithm
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Content Aware Image Enhancement
AI*IA '07 Proceedings of the 10th Congress of the Italian Association for Artificial Intelligence on AI*IA 2007: Artificial Intelligence and Human-Oriented Computing
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The paper describes a modular procedure for automatic correction of redeye artifact in images of unknown origin, maintaining the natural appearance of the eye. First, a smart color balancing procedure is applied. This phase not only facilitates the subsequent steps of processing, but also improves the overall appearance of the output image. Combining the results of a color-based face detector and of a face detector based on a multi-resolution neural network the most likely facial regions are identified. Redeye is searched for only within these regions, seeking areas with high “redness” satisfying some geometric constraints. A novel redeye removal algorithm is then applied automatically to the red eyes identified, and opportunely smoothed to avoid unnatural transitions between the corrected and original parts. Experimental results on a set of over 450 images are reported.