Expression recognition algorithm in canonical domain based on sensitive feature extraction

Xueying Ren; Lei Ma; Shijie Su

doi:10.1117/12.3034825

11 July 2024 Expression recognition algorithm in canonical domain based on sensitive feature extraction

Xueying Ren, Lei Ma, Shijie Su

Proceedings Volume 13210, Third International Symposium on Computer Applications and Information Systems (ISCAIS 2024); 132101F (2024) https://doi.org/10.1117/12.3034825
Event: Third International Symposium on Computer Applications and Information Systems (ISCAIS 2023), 2024, Wuhan, China

Abstract

Discuss the objective problems and limitations found in the case of strong specificity, high discrimination requirements and regional significance. The use of the nonlinear module to increase the output of the front layer. Get a form dataset like CK and mark the corresponding number to each category for easy training. Obtain low-scale sensitive communication features to identify the sample form and conduct a practical and systematic test on the effectiveness of the algorithm. This process has a considerable long-term significance for the continued development of face recognition.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xueying Ren, Lei Ma, and Shijie Su "Expression recognition algorithm in canonical domain based on sensitive feature extraction", Proc. SPIE 13210, Third International Symposium on Computer Applications and Information Systems (ISCAIS 2024), 132101F (11 July 2024); https://doi.org/10.1117/12.3034825

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