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Cascade of Tasks for facial expression analysis
2016
Image and Vision Computing
Preserved Fulltext
Automatic facial Action Unit (AU) detection from video is a long-standing problem in facial expression analysis. ...
In this paper, we propose a method called Cascade of Tasks (CoT) that combines the use of different tasks (i.e., frame-level detection, segment-level detection and transition detection) for AU event detection ...
Cascade of Tasks (CoT) This section introduces the proposed Cascade of Tasks (CoT) for detecting facial AU events. ...
doi:10.1016/j.imavis.2016.03.008
fatcat:vnjrbdmlqzfwdidnaxh3tq3s5i
Coarse-to-Fine Cascaded Networks with Smooth Predicting for Video Facial Expression Recognition
[article]
2022
arXiv
pre-print
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2022 pre-print arXiv:2203.13052v2 fatcat:hq2aj6wanjelberbkwwbsmck3uOther Versions
In this paper, we propose the Coarse-to-Fine Cascaded network with Smooth Predicting (CFC-SP) to improve the performance of facial expression recognition. ...
For SP, it improves the recognition capability of the model by capturing both universal and unique expression features. ...
Coarse-to-Fine Cascaded Networks Facial expressions are caused by muscle movement in faces. [4] split expressions into seven basic categories (the EXPR task in ABAW3). ...
arXiv:2203.13052v4
fatcat:qjh6fqz77rbwhex4lkmuosmdqu
Cascade Regression-Based Face Frontalization for Dynamic Facial Expression Analysis
2021
Cognitive Computation
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Unlike the existing face reconstruction methods that are computational expensive, the proposed method works in real time, so it is suitable for dynamic analysis of facial expression. ...
static and dynamic recognition of facial expressions over the state-of-the-art approaches. ...
In this paper, a novel cascade regression-based face frontalization (CRFF) method is proposed for dynamic analysis of facial expressions. ...
doi:10.1007/s12559-021-09843-8
fatcat:viy77mwnfvevpc63zkhsibcpxy
Face Detectors Evaluation to Select the Fastest among DLIB, HAAR Cascade, and MTCNN
2021
Zenodo
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Python, and cascades to increase the accuracy of face location in difficult scenarios. ...
In this research paper, we evaluated the performance of three famous face detector models on CPU-based machines. MTCNN and DLIB based detectors are designed for GPU-based machines ...
Acknowledgment: The authors would like to thank the Computer Science and IT Department for arrangement of hardwares and assistance with the collection of data. ...
doi:10.5281/zenodo.5089390
fatcat:vylkoutcyvfgrhpxy2agjvnhvu
Pipeline Generative Adversarial Networks for Facial Images Generation with Multiple Attributes
[article]
2017
arXiv
pre-print
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Generative Adversarial Networks are proved to be efficient on various kinds of image generation tasks. However, it is still a challenge if we want to generate images precisely. ...
The Pip-GAN (Pipeline Generative Adversarial Network) we present employs a pipeline network structure which can generate a complex facial image step by step using a neutral face image. ...
And multi-view face images can also be used for both pose and facial expression analysis [16] [2] . ...
arXiv:1711.10742v1
fatcat:ddjhxh5jifbwjnkzf55hejxvbq
Classifying Emotion Using Convolutional Neural Networks
2019
UC Merced Undergraduate Research Journal
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facial expression dataset (Kaggle, 2013) . ...
Training a classifier algorithm to accomplish this form of human behavior is a rather difficult task. ...
The Viola-Jones face detection algorithm is able to perform rapid object detection using Haar cascades-a technique in image analysis applied to facial recognition. ...
doi:10.5070/m4111041558
fatcat:tzn3lg4lr5g6tdm47yafcqd3su
A Mini-review of Face Alignment - Classical Method versus Deep Learning Approach
2021
International Journal of Electrical & Electronic Systems Research (IEESR)
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Face alignment is one of the vital research areas to be explored specifically face tasks like face recognition, face verification, face reconstruction, and facial expression analysis. ...
Numerous classic methods have used the 2D image for the detection of facial landmarks but this task is challenging due to several reasons, for instance, large poses, semi-frontal images, and facial expression ...
Moreover, in facial expression recognition, face alignment is used to extract features of the face based on several facial expressions [9] . ...
doi:10.24191/jeesr.v19i1.002
fatcat:r3h6glo33ffq3jqtmldghin4a4
Simultaneous Facial Landmark Detection, Pose and Deformation Estimation under Facial Occlusion
[article]
2017
arXiv
pre-print
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Facial landmark detection, head pose estimation, and facial deformation analysis are typical facial behavior analysis tasks in computer vision. ...
The experimental results on benchmark databases demonstrate the effectiveness of the proposed method for simultaneous facial landmark detection, head pose and facial deformation estimation, even if the ...
The facial occlusion causes problems for all facial analysis tasks, including facial landmark detection, head pose estimation, and facial deformation analysis. ...
arXiv:1709.08130v1
fatcat:dgwfn4gtnffolmuyagglxovwdi
Simultaneous Facial Landmark Detection, Pose and Deformation Estimation Under Facial Occlusion
2017
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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Facial landmark detection, head pose estimation, and facial deformation analysis are typical facial behavior analysis tasks in computer vision. ...
The experimental results on benchmark databases demonstrate the effectiveness of the proposed method for simultaneous facial landmark detection, head pose and facial deformation estimation, even if the ...
The facial occlusion causes problems for all facial analysis tasks, including facial landmark detection, head pose estimation, and facial deformation analysis. ...
doi:10.1109/cvpr.2017.606
dblp:conf/cvpr/WuGJ17
fatcat:bur7cvp54bardhh56i3uxkssou
A Review of Facial Landmark Extraction in 2D Images and Videos Using Deep Learning
2019
Big Data and Cognitive Computing
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The task of facial landmark extraction is fundamental in several applications which involve facial analysis, such as facial expression analysis, identity and face recognition, facial animation, and 3D ...
Taking into account the most recent advances resulting from deep-learning techniques, the performance of methods for facial landmark extraction have been substantially improved, even on in-the-wild datasets ...
On the other hand, higher-level tasks, such as facial expression understanding or facial animation, require a greater number for landmarks that is from 20-30 to 60-80, as well as greater spatial accuracy ...
doi:10.3390/bdcc3010014
fatcat:cmqwb37tzbbhfdm23u53nvdpsu
Real-time 3D Facial Tracking via Cascaded Compositional Learning
[article]
2020
arXiv
pre-print
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We propose to learn a cascade of globally-optimized modular boosted ferns (GoMBF) to solve multi-modal facial motion regression for real-time 3D facial tracking from a monocular RGB camera. ...
By further cascading a sequence of GoMBFs (GoMBF-Cascade) to regress facial motion parameters, we achieve competitive tracking performance on a variety of in-the-wild videos comparing to the state-of-the-art ...
These two insights could benefit a range of non-deep learning facial image analysis tasks where the labelled real data is difficult to acquire. ...
arXiv:2009.00935v1
fatcat:qqk5cmxcfjh4bjnwspotwge7oy
Topic-Aware Deep Auto-Encoders (TDA) for Face Alignment
[chapter]
2015
Lecture Notes in Computer Science
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Facial landmark localization plays an important role for many computer vision tasks, e.g., face recognition, face parsing, facial expression analysis, face animation, etc. ...
However, it remains a challenging problem due to the diverse variations, such as head poses, facial expressions, occlusions and so on. ...
This work is partially supported by Natural Science Foundation of China under contracts Nos. 61025010, 61173065, and 61390511. ...
doi:10.1007/978-3-319-16811-1_46
fatcat:flkol7lk3fhmtfvdhsi6rrl444
Music Playlist Generation Using Facial Expression Analysis and Task Extraction
[chapter]
2017
Lecture Notes in Networks and Systems
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The work pressure and the vexation of any kind for a person can be depicted by their emotions. Facial expressions are the key to analyze the current psychology of the person. ...
This player will capture the facial expressions of a person working on the computer and identify the current emotion. Intuitively the music will be played for the user to relax them. ...
Moreover, the different distances between the disparate feature face points are considered for recognizing facial expressions. 2. ...
doi:10.1007/978-981-10-5523-2_13
fatcat:qbuzhvvcxzcolkq6m6wq5tuzgi
Music Playlist Generation using Facial Expression Analysis and Task Extraction
2017
Annales UMCS Informatica
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The work pressure and the vexation of any kind for a person can be depicted by their emotions. Facial expressions are the key to analyze the current psychology of the person. ...
This player will capture the facial expressions of a person working on the computer and identify the current emotion. Intuitively the music will be played for the user to relax them. ...
Moreover, the different distances between the disparate feature face points are considered for recognizing facial expressions. 2. ...
doi:10.17951/ai.2016.16.2.1
fatcat:jxib6dzv7jgetdifd2oaznnmgq
Deep Learning-Based Emotion-Sensitive Learning Cognitive State Analysis
2020
International Journal of Emerging Trends in Engineering Research
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The system presented is an implementation of multiple tasks learning cascaded with a convolutional neural network (CNN), introduced for detecting expression, locating landmarks, and estimating head pose ...
The expression detection and landmark location help in alignment of the face. The estimation of head pose and face alignment are further used to evaluate the leaner's attention. ...
head posture and analysis of facial expressions ...
doi:10.30534/ijeter/2020/204892020
fatcat:2d5jiytucrdkbjujaejh356are
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