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cs.CV2016
To Frontalize or Not To Frontalize: Do We Really Need Elaborate Pre-processing To Improve Face Recognition?
Sandipan Banerjee, Joel Brogan, Janez Krizaj +5
Face recognition performance has improved remarkably in the last decade. Much of this success can be attributed to the development of deep learning techniques such as convolutional…
cs.CV2016
The ND-IRIS-0405 Iris Image Dataset
Kevin W. Bowyer, Patrick J. Flynn
The Computer Vision Research Lab at the University of Notre Dame began collecting iris images in the spring semester of 2004. The initial data collections used an LG 2200 iris imag…
cs.CV2016
Hierarchical Clustering in Face Similarity Score Space
Jason Grant, Patrick Flynn
Similarity scores in face recognition represent the proximity between pairs of images as computed by a matching algorithm. Given a large set of images and the proximities between a…