This paper describes the use of shape-from-shading for face recognition. We apply shape-from-shading to tightly cropped face images to extract fields of ...
Abstract. This paper describes the use of shape-from-shading for face recognition. We apply shape-from-shading to tightly cropped face im-.
This paper describes the use of shape-from-shading for face recognition. We apply shape-from-shading to tightly cropped face images to extract fields of ...
Abstract: This paper describes the use of shape-from-shading for face recognition. We apply shape-from-shading to tightly cropped face images to extract ...
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Nov 15, 2022 · In this paper, a novel deep learning method termed Domain Adaptation Scaled Entropy Meta-Network (DASEMN) is proposed to tackle sketch face recognition tasks.
To enhance the image classification information and improve the recognition effect, here we propose a new simple method based on the entropy measure (which.
A Face Recognition approach based on entropy estimate of the nonlinear DCT features in the Logarithm Domain together with Kernel Entropy Component Analysis.
Abstract: In this paper, an entropy based feature extraction algorithm for face recognition is proposed, which efficiently exploits the local spatial variations ...
Bibliographic details on Face Recognition with Generalized Entropy Measurements.
In this work, a face recognition system is proposed, with an application to the spoofing prevention. The method is based on the Histogram of Oriented Gradients ...