Undersampled face recognition deals with the problem in which, for each subject to be recognized, only one or few images are available in the gallery ...
ABSTRACT. Undersampled face recognition deals with the problem in which, for each subject to be recognized, only one or few.
In this paper, we address the problem of robust face recognition with undersampled training data. Given only one or few training images available per ...
Missing: pass | Show results with:pass
We developed an algorithm that is able to retrieve 3D geometric information of human faces from 2D images/videos. The applications of this algorithm include.
In this paper, we address the problem of robust face recognition with undersampled training data. Given only one or few training images available per ...
Missing: pass | Show results with:pass
Undersampled face recognition deals with the problem in which, for each subject to be recognized, only one or few images are available in the gallery (training) ...
In this paper, we propose a face recognition algorithm based on dictionary learning and subspace learning (DLSL).
Missing: pass | Show results with:pass
11, 2004. Undersampled face recognition with one-pass dictionary learning. CP Wei, YCF Wang. 2015 IEEE International Conference on Multimedia and Expo (ICME), 1 ...
Nov 26, 2021 · Single sample per person (SSPP) face recognition uses only a single face image of each subject in the gallery set to recognize the probe sample.
A novel low-rank double dictionary learning (LRD2L) approach is proposed for robust image classification. · It integrates the low-rank matrix recovery technique ...