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Agrupamento de Pixels para o Reconhecimento de Faces

2020-06-10 04:42:07
Tiago Buarque Assunção de Carvalho
arXiv_CV
         
Abstract

This research starts with the observation that face recognition can suffer a low impact from significant image shrinkage. To explain this fact, we proposed the Pixel Clustering methodology. It defines regions in the image in which its pixels are very similar to each other. We extract features from each region. We used three face databases in the experiments. We noticed that 512 is the maximum number of features needed for high accuracy image recognition. The proposed method is also robust, even if only it uses a few classes from the training set.

Abstract (translated)

URL

https://arxiv.org/abs/2006.05652

PDF

https://arxiv.org/pdf/2006.05652.pdf

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