A Robust Approach of Facial Orientation Recognition from Facial Features
@inproceedings{Gupta2017ARA, title={A Robust Approach of Facial Orientation Recognition from Facial Features}, author={Kishor Datta Gupta and Md. Manjurul Ahsan and Stefan Andrei and Kazi Md. Rokibul Alam}, year={2017} }
Face orientation recognition is an important topic in computer vision and pattern recognition. Due to the non-rigid properties of faces, it is computationally expensive and difficult to achieve good recognition accuracy and robustness in face orientation recognition. In this paper, we propose an image mapping technique for face analysis in smart camera networks with a feature extraction and data from the facial feature. We estimate the face orientation angles in all camera views, based on the…
Figures and Tables from this paper
6 Citations
Face Recognition in an Unconstrained and Real-Time Environment Using Novel BMC-LBPH Methods Incorporates with DJI Vision Sensor
- Computer ScienceJ. Sens. Actuator Networks
- 2020
The experimental results showed that the proposed BMC-LBPH FR techniques outperformed the traditional LBPH methods by achieving the accuracy of 65, 98%, and 78% in 5_celebrity dataset, LU dataset, and rainy weather, respectively, and the proposed method provides a promising solution for facial recognition using UAV.
Driver Drowsiness Detection Using Ensemble Convolutional Neural Networks on YawDD
- Computer ScienceArXiv
- 2021
Preliminary computational results show that the proposed Ensemble Convolutional Neural Network (ECNN) outperformed the traditional CNN-based approach by achieving an F1 score of 0.935, where other three CNN, such as CNN1, CNN2, and CNN3 approaches gained 0.92, 0.90, and 0.1 scores, respectively.
SHECS: A Local Smart Hands-free Elderly Care Support System on Smart AR Glasses with AI Technology
- Computer Science2021 IEEE International Symposium on Multimedia (ISM)
- 2021
This work presents a no-keepalive-Internet and privacy-compliant required smart hands-free elderly care support system that employs smart glasses with facial recognition and text-to-speech synthesis technologies, and achieves high accuracy with fewer model parameters than current state-of-the-art methods.
COVID-19 Symptoms Detection Based on NasNetMobile with Explainable AI Using Various Imaging Modalities
- MedicineMach. Learn. Knowl. Extr.
- 2020
Results demonstrate that the proposed models can identify the infectious regions and top features; ultimately, it provides a potential opportunity to distinguish between COVID-19 patients with others.
Determining Sequence of Image Processing Technique (IPT) to Detect Adversarial Attacks
- Computer ScienceSN Comput. Sci.
- 2021
This work proposes an evolutionary approach to automatically determine Image Processing Techniques Sequence (IPTS) for detecting malicious inputs and exhibited promising results indicating the approach can efficiently be used as processing for any AI model.
Study of Different Deep Learning Approach with Explainable AI for Screening Patients with COVID-19 Symptoms: Using CT Scan and Chest X-ray Image Dataset
- Computer ScienceArXiv
- 2020
A deep learning-based model is developed that can detect COVID-19 patients with better accuracy both on CT scan and chest X-ray image dataset and test results demonstrate that it is conceivable to interpret top features that should have worked to build a trust AI framework to distinguish between patients with CO VID-19 symptoms with other patients.
References
SHOWING 1-10 OF 13 REFERENCES
A Stereo and Color-based Method for Face Pose Estimation and Facial Feature Extraction
- Computer Science18th International Conference on Pattern Recognition (ICPR'06)
- 2006
Results show, stereo and color are powerful cues for finding the face and its pose under a wide range of poses, illuminations and expressions (PIE).
Facial features detection robust to pose, illumination and identity
- Computer Science2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583)
- 2004
It is found that a single cluster provides a robust detector for salient facial features robust to pose, illumination and identity and which facial features have found to be salient.
Facial feature detection using Haar classifiers
- Computer Science
- 2006
By regionalizing the detection area, false positives are eliminated and the speed of detection is increased due to the reduction of the area examined.
Facial Expression Recognition with Fusion Features Extracted from Salient Facial Areas
- Computer ScienceSensors
- 2017
A salient areas definitude method which uses peak expressions frames compared with neutral faces and normalizes the salient areas of the same location in the faces to the same size so that it can extracts more similar features from different subjects.
A Survey of 2D Face Recognition Techniques
- Computer ScienceComput.
- 2016
The benefits of, as well as the challenges to the use of face recognition as a biometric tool are exposed, and a detailed survey of some well-known methods by expressing each method’s principle is provided.
Use Of Haar Cascade Classifier For Face Tracking System In Real Time Video
- Computer Science
- 2013
In this paper, information is presented about the face detection and tracking system with real time video as an input, algorithms which are involve and results of the system.
HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition
- Computer ScienceIEEE Transactions on Pattern Analysis and Machine Intelligence
- 2019
The proposed method, HyperFace, fuses the intermediate layers of a deep CNN using a separate CNN followed by a multi-task learning algorithm that operates on the fused features to exploit the synergy among the tasks which boosts up their individual performances.
Rapid object detection using a boosted cascade of simple features
- Computer ScienceProceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001
- 2001
A machine learning approach for visual object detection which is capable of processing images extremely rapidly and achieving high detection rates and the introduction of a new image representation called the "integral image" which allows the features used by the detector to be computed very quickly.
Head Pose Estimation for Driver Assistance Systems: A Robust Algorithm and Experimental Evaluation
- Computer Science2007 IEEE Intelligent Transportation Systems Conference
- 2007
This work presents an identity-and lighting-invariant system to estimate a driver's head pose, which is fully autonomous and operates online in daytime and nighttime driving conditions, using a monocular video camera sensitive to visible and near-infrared light.
Real-time nonintrusive monitoring and prediction of driver fatigue
- EngineeringIEEE Transactions on Vehicular Technology
- 2004
A probabilistic model is developed to model human fatigue and to predict fatigue based on the visual cues obtained, and it was found to be reasonably robust, reliable, and accurate in fatigue characterization.