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   Articles with "resolution face" as a keyword



Super-Resolution of Face Images Using Weighted Elastic Net Constrained Sparse Representation

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recommendations! Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2913008

Abstract: High-resolution (HR) face images are usually preferred in many computer vision tasks. However, low-resolution (LR) face images, which are often obtained in real scenarios, can be converted to a high resolution with the super-resolution techniques.… read more here.

Keywords: resolution; resolution face; face; super resolution ... See more keywords

Degrade or Super-Resolve to Recognize? Bridging the Domain Gap for Cross-Resolution Face Recognition

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3527236

Abstract: In this work, we address the problem of cross-resolution face recognition, where a low-resolution probe face is compared against high-resolution gallery faces. To address this challenging problem, we investigate two approaches for bridging the quality… read more here.

Keywords: quality; face; face recognition; resolution ... See more keywords

Unsupervised Face Domain Transfer for Low-Resolution Face Recognition

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recommendations! Published in 2020 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2019.2963001

Abstract: Low-resolution face recognition suffers from domain shift due to the different resolution between a high-resolution gallery and a low-resolution probe set. Conventional methods use the pairwise correlation between high-resolution and low-resolution for the same subject,… read more here.

Keywords: resolution; resolution face; face; face recognition ... See more keywords

Propagating Facial Prior Knowledge for Multitask Learning in Face Super-Resolution

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recommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2022.3181828

Abstract: Existing face hallucination methods always achieve improved performance through regularizing the model with facial prior. Most of them always estimate facial prior information first and then leverage it to help the prediction of the target… read more here.

Keywords: face super; face; face image; resolution face ... See more keywords