Automatic facial expression recognition using features of salient facial patches
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 …
facial expression recognition. The accurate detection of facial landmarks improves the …
[HTML][HTML] Field programmable gate array applications—A scientometric review
Field Programmable Gate Array (FPGA) is a general purpose programmable logic device
that can be configured by a customer after manufacturing to perform from a simple logic gate …
that can be configured by a customer after manufacturing to perform from a simple logic gate …
Real-time face detection and motion analysis with application in “liveness” assessment
K Kollreider, H Fronthaler, MI Faraj… - IEEE Transactions on …, 2007 - ieeexplore.ieee.org
A robust face detection technique along with mouth localization, processing every frame in
real time (video rate), is presented. Moreover, it is exploited for motion analysis onsite to …
real time (video rate), is presented. Moreover, it is exploited for motion analysis onsite to …
Deep hybrid learning for facial expression binary classifications and predictions
Image processing is a technique used for applying different operations to an image to
produce an improved image or extract relevant information. Image processing has multiple …
produce an improved image or extract relevant information. Image processing has multiple …
Application of machine learning algorithms for facial expression analysis
V Uma Maheswari, R Aluvalu… - Mach. Learn. Sustain …, 2021 - degruyter.com
Nowadays, facial expression analysis (FEA) is becoming an important application on
various fields such as medicine, education, entertainment and crime analysis because it …
various fields such as medicine, education, entertainment and crime analysis because it …
Robust facial expression classification using shape and appearance features
Facial expression recognition has many potential applications which has attracted the
attention of researchers in the last decade. Feature extraction is one important step in …
attention of researchers in the last decade. Feature extraction is one important step in …
A hardware architecture of Prewitt edge detection
This paper presents an efficient hardware architecture of Prewitt edge detection for high
speed image processing applications. The hardware design is implemented by using …
speed image processing applications. The hardware design is implemented by using …
Real-time vision-based stop sign detection system on FPGA
TP Cao, G Deng - 2008 Digital Image Computing: Techniques …, 2008 - ieeexplore.ieee.org
Many fatal accidents have happened due to drivers failing to stop at stop signs. A stop sign
recognition system could be used to reduce the risk of accidents by warning the driver when …
recognition system could be used to reduce the risk of accidents by warning the driver when …
Hardware acceleration on gaussian naive bayes machine learning algorithm
Naive Bayes is one of the most effective and efficient classification algorithms and its
classifiers still tend to perform very well under unrealistic assumptions. Especially for small …
classifiers still tend to perform very well under unrealistic assumptions. Especially for small …
Fast and robust face detection on a parallel optimized architecture implemented on FPGA
In this paper, we present a parallel architecture for fast and robust face detection
implemented on FPGA hardware. We propose the first implementation that meets both real …
implemented on FPGA hardware. We propose the first implementation that meets both real …