Matching Image Sets via Adaptive Multi Convex Hull

3 Mar 2014Shaokang ChenArnold WiliemConrad SandersonBrian C. Lovell

Traditional nearest points methods use all the samples in an image set to construct a single convex or affine hull model for classification. However, strong artificial features and noisy data may be generated from combinations of training samples when significant intra-class variations and/or noise occur in the image set... (read more)

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