In this paper, we propose a weighted component-based feature descriptor for expression recognition in video sequences. Firstly, we extract the texture ...

Abstract. In this paper, we propose a weighted component-based feature de- scriptor for expression recognition in video sequences. Firstly, we extract the ...

A novel weight-based approach to recognize facial expressions from the near-infrared (NIR) video sequences by setting different weights for each of the ...

In this article, we propose a novel methodology which is based on computable weights to find the most discriminative facial components by using the Weighted ...

We present a method for automatically learning a set of discriminatory facial components for face recognition. The algorithm performs an iterative growing ...

Mar 21, 2023 · The framework uses a 3D-CNN with an auxiliary classifier to extract latent features representing the exact visual scenario of a video, while ...

The multiple feature fusion approach is robust in dealing with video-based facial expression recognition problems under lab-controlled environment and in ...

In this paper, we present a novel research on a dynamic facial expression recognition, using near-infrared (NIR) video sequences and LBP-TOP (Local binary ...

This paper presents a novel weight-based approach to recognize facial expressions from the near-infrared (NIR) video sequences. Facial expressions can be ...

Jan 11, 2023 · This paper proposes a video sequence face expression recognition method based on Squeeze-and-Excitation and 3DPCA Network (SE-3DPCANet).