Emotion Detection Through Facial Expression Recognition Using the Viola-Jones Algorithm
Given the critical role that facial expressions play in human connection and communication, facial expression detection and recognition have attracted a lot of interest recently. The numerous uses of facial expression detection in a variety of industries,
Mrs. M. K. Nivodhini +9 more
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EOS: Edge-Based Operation Skip Scheme for Real-Time Object Detection Using Viola-Jones Classifier
Machine learning-based object detection systems are preferred due to their cost-effectiveness compared to deep learning approaches. Among machine learning methods, the Viola-Jones classifier stands out for its reasonable accuracy and efficient resource ...
Cheol-Ho Choi +4 more
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VIOLA jones algorithm with capsule graph network for deepfake detection. [PDF]
K V, Trojovský P, Hubálovský Š.
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Reducing False Positive Rate for Viola-Jones Method in Hand Detection
The Viola-Jones object detector is a machine learning based method which combines Haar-like features with AdaBoost classifier. It is known that this method is the mainstream in face detections due to its high performance of both detection speed and precision.
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Human tracking robotic camera based on image processing for live streaming of conferences and seminars. [PDF]
Rehman AU +4 more
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Localization of Facial Features Using Viola- Jones and Canny Method
Ranjana Sikarwar, Priyanka Nema
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Face detection based on a human attention guided multi-scale model. [PDF]
Cadoni M, Lagorio A, Grosso E.
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Face Recognition Based on Viola-Jones Face Detection Method and Principle Component Analysis (PCA)
Face recognition is one of the most important research fields of the last two decades. This is due to the actual use of this technology in automatic detection and monitoring systems. Face attribute and features recognition from images is still a challenge.
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ACCESS CONTROL SYSTEM BASED ON FACE RECOGNITION BY THE METHOD OF VIOLA-JONES
N.V. Ometsinskaya +4 more
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Face Recognition Based on Viola-Jones Face Detection Method and Local Binary Pattern (LBP)
In this paper, the system consists of many steps, the first step includes the histogram equalization, detection, feature extraction, and classification. At first, the data set of a face image is segmented into four segments, after that Local Binary Pattern (LBP) algorithm is performed to extract features for each segment.
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