Papers 3D Facial Expression Recognition
“3D Facial Expression Recognition” 태그가 달린 논문 13편 · 필터 해제
Emotion estimation from video footage with LSTM
Emotion estimation in general is a field that has been studied for a long time, and several approaches exist using machine learning. in this paper, we present an LSTM model, that processes the blend-shapes produced by th…
3D Facial Expression RecognitionDrFER: Learning Disentangled Representations for 3D Facial Expression Recognition
Facial Expression Recognition (FER) has consistently been a focal point in the field of facial analysis. In the context of existing methodologies for 3D FER or 2D+3D FER, the extraction of expression features often gets …
3D Facial Expression RecognitionDisentanglementFacial Expression RecognitionFacial Expression Recognition (FER)+10/1 Deep Neural Networks via Block Coordinate Descent
The step function is one of the simplest and most natural activation functions for deep neural networks (DNNs). As it counts 1 for positive variables and 0 for others, its intrinsic characteristics (e.g., discontinuity a…
10-shot image generation16k2D Object Detection+92AFNet-M: Adaptive Fusion Network with Masks for 2D+3D Facial Expression Recognition
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. Most deep learning-based approaches …
3D Facial Expression RecognitionFacial Expression RecognitionFacial Expression Recognition (FER)2D+3D facial expression recognition via embedded tensor manifold regularization
In this paper, a novel approach via embedded tensor manifold regularization for 2D+3D facial expression recognition (FERETMR) is proposed. Firstly, 3D tensors are constructed from 2D face images and 3D face shape models …
3D Facial Expression RecognitionDimensionality ReductionFacial Expression RecognitionFacial Expression Recognition (FER)MFEViT: A Robust Lightweight Transformer-based Network for Multimodal 2D+3D Facial Expression Recognition
Vision transformer (ViT) has been widely applied in many areas due to its self-attention mechanism that help obtain the global receptive field since the first layer. It even achieves surprising performance exceeding CNN …
3D Facial Expression RecognitionFacial Expression RecognitionFacial Expression Recognition (FER)Deep and Shallow Covariance Feature Quantization for 3D Facial Expression Recognition
Facial expressions recognition (FER) of 3D face scans has received a significant amount of attention in recent years. Most of the facial expression recognition methods have been proposed using mainly 2D images. These met…
3D Facial Expression RecognitionFacial Expression RecognitionFacial Expression Recognition (FER)Quantization3D-CNN for Facial Emotion Recognition in Videos
In this paper, we present a video-based emotion recognition neural network operating on three dimensions. We show that 3D convolutional neural networks (3D-CNN) can be very good for predicting facial emotions that are ex…
3D Facial Expression RecognitionEmotion RecognitionFacial Emotion Recognition2D+3D Facial Expression Recognition via Discriminative Dynamic Range Enhancement and Multi-Scale Learning
In 2D+3D facial expression recognition (FER), existing methods generate multi-view geometry maps to enhance the depth feature representation. However, this may introduce false estimations due to local plane fitting from …
3D Facial Expression RecognitionFacial Expression RecognitionFacial Expression Recognition (FER)Accurate Facial Parts Localization and Deep Learning for 3D Facial Expression Recognition
Meaningful facial parts can convey key cues for both facial action unit detection and expression prediction. Textured 3D face scan can provide both detailed 3D geometric shape and 2D texture appearance cues of the face w…
3D Facial Expression RecognitionAction Unit DetectionFace AlignmentFacial Action Unit Detection+2ExpNet: Landmark-Free, Deep, 3D Facial Expressions
We describe a deep learning based method for estimating 3D facial expression coefficients. Unlike previous work, our process does not relay on facial landmark detection methods as a proxy step. Recent methods have shown …
3D Face Reconstruction3D Facial Expression RecognitionEmotion RecognitionFacial Landmark DetectionLocal Shape Spectrum Analysis for 3D Facial Expression Recognition
We investigate the problem of facial expression recognition using 3D data. Building from one of the most successful frameworks for facial analysis using exclusively 3D geometry, we extend the analysis from a curve-based …
3D Facial Expression Recognition3D geometryFacial Expression RecognitionFacial Expression Recognition (FER)Deep Representation of Facial Geometric and Photometric Attributes for Automatic 3D Facial Expression Recognition
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. A 3D face is firstly represented by its ge…
3D Facial Expression RecognitionFacial Expression RecognitionFacial Expression Recognition (FER)