3D Facial Expression Recognition

1 papers with code • 1 benchmarks • 3 datasets

3D facial expression recognition is the task of modelling facial expressions in 3D from an image or video.

( Image credit: Expression-Net )

Latest papers with no code

DrFER: Learning Disentangled Representations for 3D Facial Expression Recognition

no code yet • 13 Mar 2024

Facial Expression Recognition (FER) has consistently been a focal point in the field of facial analysis.

AFNet-M: Adaptive Fusion Network with Masks for 2D+3D Facial Expression Recognition

no code yet • 24 May 2022

2D+3D facial expression recognition (FER) can effectively cope with illumination changes and pose variations by simultaneously merging 2D texture and more robust 3D depth information.

2D+3D facial expression recognition via embedded tensor manifold regularization

no code yet • 29 Jan 2022

In this paper, a novel approach via embedded tensor manifold regularization for 2D+3D facial expression recognition (FERETMR) is proposed.

MFEViT: A Robust Lightweight Transformer-based Network for Multimodal 2D+3D Facial Expression Recognition

no code yet • 20 Sep 2021

To the best of our knowledge, this is the first work to introduce vision transformer into multimodal 2D+3D FER.

Deep and Shallow Covariance Feature Quantization for 3D Facial Expression Recognition

no code yet • 12 May 2021

We extract shallow features from the 3D images, and deep features using Convolutional Neural Networks (CNN) from the transformed 2D images.

3D-CNN for Facial Emotion Recognition in Videos

no code yet • 7 Dec 2020

In this paper, we present a video-based emotion recognition neural network operating on three dimensions.

2D+3D Facial Expression Recognition via Discriminative Dynamic Range Enhancement and Multi-Scale Learning

no code yet • 16 Nov 2020

In 2D+3D facial expression recognition (FER), existing methods generate multi-view geometry maps to enhance the depth feature representation.

Accurate Facial Parts Localization and Deep Learning for 3D Facial Expression Recognition

no code yet • 4 Mar 2018

In particular, each textured 3D face scan is firstly represented as a 2D texture map and a depth map with one-to-one dense correspondence.

Local Shape Spectrum Analysis for 3D Facial Expression Recognition

no code yet • 19 May 2017

Building from one of the most successful frameworks for facial analysis using exclusively 3D geometry, we extend the analysis from a curve-based representation into a spectral representation, which allows a complete description of the underlying surface that can be further tuned to the desired level of detail.

Deep Representation of Facial Geometric and Photometric Attributes for Automatic 3D Facial Expression Recognition

no code yet • 10 Nov 2015

In this paper, we present a novel approach to automatic 3D Facial Expression Recognition (FER) based on deep representation of facial 3D geometric and 2D photometric attributes.