In SRC, a test image is coded by a linear combination of the training dictionary. In this paper, we propose a model extends from SRC named Multi-scale SRC (MSRC) ...
Classification (SRC) has been successfully used in face recognition. In SRC, a test image is coded by a linear combination of the training dictionary.
This paper presents a novel sparse representation for robust face recognition. We advance both group sparsity and data locality and formulate a unified ...
Sep 28, 2021 · The recognition of robust facial images is performed through ELM classifier which is priory preprocessed by extracting the multi-scale sparse coding feature ...
In our implementation, we propose a Multi-scale Sparse Representation to improve the performance compared to the original paper. If you use our code, please ...
Hence, novel robust face recognition approaches are presented in this paper. The recognition of robust facial images is performed through ELM classifier which ...
Robust Face Recognition Using Multi-scale Feature Pattern Sparse Representation with Extreme Learning Machine ... face images for recognition. Compared ...
In our implementation, we propose a Multi-scale Sparse Representation to improve the performance compared to the original paper. If you use our code, please ...
Based on a sparse representation computed by '1-minimization, we propose a general classification algorithm for (image-based) object recognition. This new ...
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First, we apply a new multiscale directional framework, called Shearlet Network (SN), to extract facial features. The advantage of this approach comes from the ...