Automatic Facial Expression Recognition Using Features of Salient Facial Patches [PDF]
IEEE Transactions on Affective Computing, vol. 6, no. 1, pp. 1-12,
2015, 2015 Extraction of discriminative features from salient facial patches plays a vital role in effective facial expression recognition. The accurate detection of facial landmarks improves the localization of the salient patches on face images. This paper proposes a novel framework for expression recognition by using appearance features of selected facial ...
arxiv +1 more source
Facial emotion expressions in human-robot interaction: A survey [PDF]
arXiv, 2021 Facial expressions are an ideal means of communicating one's emotions or intentions to others. This overview will focus on human facial expression recognition as well as robotic facial expression generation. In the case of human facial expression recognition, both facial expression recognition on predefined datasets as well as in real-time will be ...
arxiv
Geometric Feature-Based Facial Expression Recognition in Image Sequences Using Multi-Class AdaBoost and Support Vector Machines [PDF]
Sensors 2013, 13, 7714-7734, 2016 Facial expressions are widely used in the behavioral interpretation of emotions, cognitive science, and social interactions. In this paper, we present a novel method for fully automatic facial expression recognition in facial image sequences. As the facial expression evolves over time facial landmarks are automatically tracked in consecutive video ...
arxiv +1 more source
Facial Action Unit Recognition Based on Transfer Learning [PDF]
arXiv, 2022 Facial action unit recognition is an important task for facial analysis. Owing to the complex collection environment, facial action unit recognition in the wild is still challenging. The 3rd competition on affective behavior analysis in-the-wild (ABAW) has provided large amount of facial images with facial action unit annotations.
arxiv
The Analysis of Facial Feature Deformation using Optical Flow Algorithm [PDF]
IJEECS, Vol. 15, No. 2, pp. 769-777 (2019), 2020 Facial features deformed according to the intended facial expression. Specific facial features are associated with specific facial expression, i.e. happy means the deformation of mouth. This paper presents the study of facial feature deformation for each facial expression by using an optical flow algorithm and segmented into three different regions of ...
arxiv
Enhancing Facial Classification and Recognition using 3D Facial Models and Deep Learning [PDF]
arXiv, 2023 Accurate analysis and classification of facial attributes are essential in various applications, from human-computer interaction to security systems. In this work, a novel approach to enhance facial classification and recognition tasks through the integration of 3D facial models with deep learning methods was proposed.
arxiv
Comprehensive Facial Expression Synthesis using Human-Interpretable Language [PDF]
arXiv, 2020 Recent advances in facial expression synthesis have shown promising results using diverse expression representations including facial action units. Facial action units for an elaborate facial expression synthesis need to be intuitively represented for human comprehension, not a numeric categorization of facial action units.
arxiv
Audio-Driven Talking Face Generation with Diverse yet Realistic Facial Animations [PDF]
arXiv, 2023 Audio-driven talking face generation, which aims to synthesize talking faces with realistic facial animations (including accurate lip movements, vivid facial expression details and natural head poses) corresponding to the audio, has achieved rapid progress in recent years.
arxiv
Facial Expression Phoenix (FePh): An Annotated Sequenced Dataset for Facial and Emotion-Specified Expressions in Sign Language [PDF]
arXiv, 2020 Facial expressions are important parts of both gesture and sign language recognition systems. Despite the recent advances in both fields, annotated facial expression datasets in the context of sign language are still scarce resources. In this manuscript, we introduce an annotated sequenced facial expression dataset in the context of sign language ...
arxiv
Facial Expressions Analysis Under Occlusions Based on Specificities of Facial Motion Propagation [PDF]
, 2019 Although much progress has been made in the facial expression analysis field, facial occlusions are still challenging. The main innovation brought by this contribution consists in exploiting the specificities of facial movement propagation for recognizing expressions in presence of important occlusions.
arxiv +1 more source