Micro-expression recognition based on spatiotemporal local Gabor binary patterns on three orthogonal planes

Ling Fan; Chenhan Lin

doi:10.1117/12.2680995

8 June 2023 Micro-expression recognition based on spatiotemporal local Gabor binary patterns on three orthogonal planes

Ling Fan, Chenhan Lin

Proceedings Volume 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023); 127073O (2023) https://doi.org/10.1117/12.2680995
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 2023, Changsha, China

Abstract

Analyzing facial micro-expressions based on computer vision has become an active research area in recent years. Subtle changes and short duration of micro-expressions bring great challenges to this issue, and extracting effective spatiotemporal features is the key to improving recognition performance. This paper proposes an approach for micro-expression recognition, Spatiotemporal Local Gabor Binary Patterns on Three Orthogonal Planes (STLGBP-TOP), by combining spatiotemporal Gabor filtering and LBP-TOP. In this approach, LBP-TOP is employed to encode local dynamic features of micro-expression videos on top of spatiotemporal Gabor filtering. Experimental results on CASME and CASME2 datasets demonstrate the effectiveness of our method.

Citation Download Citation

Ling Fan and Chenhan Lin "Micro-expression recognition based on spatiotemporal local Gabor binary patterns on three orthogonal planes", Proc. SPIE 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 127073O (8 June 2023); https://doi.org/10.1117/12.2680995

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