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With the increasing demand of surveillance camera-based applications, the very low resolution (VLR) problem occurs in many face application systems.
With the increasing demand of surveillance camera-based applications, the very low resolution (VLR) problem occurs in many face application systems.
Abstract. With the increasing demand of surveillance camera-based applica- tions, the very low resolution (VLR) problem occurs in many face application.
Experimental results show that the proposed face Super-Resolution method is more robust to noise and computationally efficient than existing dictionary�...
Nov 1, 2018 � This page will be reference for the basic terminology used when evaluating, integrating, and operating face recognition algorithms.
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Bibliographic details on Face Recognition Based on Non-local Similarity Dictionary.
One of the challenges of face recognition in surveillance is the low resolution of face region. Therefore many superresolution (SR) face reconstruction methods�...
In order to improve the performance of SR, we propose a novel SR face reconstruction method based on nonlocal similarity and multi-scale linear combination�...
Apr 12, 2016 � In order to improve the performance of SR, we propose a novel SR face reconstruction method based on nonlocal similarity and multi-scale linear�...
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In this paper, we propose a face recognition algorithm based on dictionary learning and subspace learning (DLSL). In DLSL, a new subspace learning algorithm (SL)�...