Paper
8 June 2023 Facial expression recognition combining different resolution images
Kefan Yang
Author Affiliations +
Proceedings Volume 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023); 1270721 (2023) https://doi.org/10.1117/12.2681373
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 2023, Changsha, China
Abstract
The key point of this thesis is to solve different resolution facial expression recognition. Previously, we used the Highresolution image generation module (HIG) and Coarse to fine the classification module to solve this problem. The effect of HIG is to convert low-resolution images to high-resolution images through superresolution. Coarse to fine classification module instead analyze the image step by step using a three-paragraph classification. Both methods can work well.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kefan Yang "Facial expression recognition combining different resolution images", Proc. SPIE 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 1270721 (8 June 2023); https://doi.org/10.1117/12.2681373
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KEYWORDS
Facial recognition systems

Image classification

Convolution

Databases

Feature extraction

Image resolution

Artificial neural networks

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