UFPR-Eyeglasses
Introduced by Zanlorensi et al. in Unconstrained Periocular Recognition: Using Generative Deep Learning Frameworks for Attribute Normalization
The UFPR-Eyeglasses dataset has 1,135 images of both eyes (2,270 cropped images of each eye) from 83 subjects (166 classes). The dataset is used to evaluate the effect of the occlusion caused by eyeglasses in periocular recognition.
Source: Unconstrained Periocular Recognition: Using Generative Deep Learning Frameworks for Attribute NormalizationPapers
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