Results 1 to 10 of about 23,887 (171)

VIOLA jones algorithm with capsule graph network for deepfake detection [PDF]

open access: yesPeerJ Computer Science, 2023
DeepFake is a forged image or video created using deep learning techniques. The present fake content of the detection technique can detect trivial images such as barefaced fake faces.
Venkatachalam K   +2 more
doaj   +5 more sources

An Analysis of the Viola-Jones Face Detection Algorithm [PDF]

open access: yesImage Processing On Line, 2014
n this article, we decipher the Viola-Jones algorithm, the first ever real-time face detection system. There are three ingredients working in concert to enable a fast and accurate detection: the integral image for feature computation, Adaboost for ...
Yi-Qing Wang
doaj   +2 more sources

Improved Viola-Jones face detection algorithm based on HoloLens [PDF]

open access: yesEURASIP Journal on Image and Video Processing, 2019
The current face detection in Microsoft HoloLens can only be achieved by remote call of face detection interface algorithm which is, however, restricted by network, resulting in slow detection and failing to meet real-time detection demand.
Jing Huang, Yunyi Shang, Hai Chen
doaj   +2 more sources

An efficient and cost effective FPGA based implementation of the Viola-Jones face detection algorithm [PDF]

open access: yesHardwareX, 2017
We present an field programmable gate arrays (FPGA) based implementation of the popular Viola-Jones face detection algorithm, which is an essential building block in many applications such as video surveillance and tracking.
Peter Irgens   +4 more
doaj   +5 more sources

Emotion Recognition using Fisher Face-based Viola-Jones Algorithm [PDF]

open access: yes2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), 2019
In the form of the image integral, this primitive feature accelerates the performance of the Viola-Jones algorithm. However, the robust feature is necessary to optimize the results of emotion recognition. Previous research [11] has shown that fisher face
Herwanto, Heru Wahyu   +2 more
core   +3 more sources

A probabilistic detection-based approach to skin and freckle segmentation [PDF]

open access: yesScientific Reports
Accurate freckle segmentation is essential for dermatological assessments and cosmetic applications, but existing lesion detection techniques are primarily designed for well-defined skin abnormalities such as melanomas and tumors, making them less ...
Yeong-Su Lim   +2 more
doaj   +2 more sources

Real-time Face Tracking in Video Content using Viola-Jones Algorithm [PDF]

open access: yesTelfor Journal, 2019
In this paper an implementation of an application for detecting and tracking faces in real-time using the Viola-Jones algorithm and OpenCV library has been presented.
D. Đorić   +3 more
doaj   +2 more sources

CANNY EDGE DETECTION AND CONTRAST STRETCHING FOR FACIAL EXPRESSION DETECTION AND RECOGNITION USING MACHINE LEARNING

open access: yesICTACT Journal on Image and Video Processing, 2021
Facial expression recognition in the world is challenging due to various unconstrained conditions. Although existing facial expression classifiers have been almost perfect for analyzing constrained frontal faces, they fail to perform well on partially ...
P Dinesh Kumar, B Rosiline Jeetha
doaj   +1 more source

Detection of human faces in thermal infrared images [PDF]

open access: yesMetrology and Measurement Systems, 2021
The presented study concerns development of a facial detection algorithm operating robustly in the thermal infrared spectrum. The paper presents a brief review of existing face detection algorithms, describes the experiment methodology and selected ...
Marcin Ł. Kowalski   +2 more
doaj   +1 more source

Using of Viola and Jones Method to Localize Objects in Multispectral Aerospace Images based on Multichannel Features [PDF]

open access: yesE3S Web of Conferences, 2020
A new algorithm for localizing engineering objects on multispectral images based on the Viola and Jones method has been developed. The proposed algorithm uses multichannel features allowing to construct classifiers that are sensitive to features of joint
Usilin Sergey, Slavin Oleg
doaj   +1 more source

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