In recent years, facial recognition applications have experienced rapid growth. Beyond the everyday use of unlocking smartphones, facial recognition is also commonly applied in office or factory access control, electronic locks in buildings and apartments, and even in areas like retail and financial ...
3D facial expression recognition is the task of modelling facial expressions in 3D from an image or video. ( Image credit: [Expression-Net](https://github.com/fengju514/Expression-Net) )
This paper proposed a new facial expression recognition algorithm based on gabor texture features and Adaboost feature selection via SRC(sparse representation classification). Five scales and eight orientations of Gabor wavelet filters were used in this paper to extract gabor features. For an image of...
A facial expression recognition method using the ignition position sequence (IPS) of pulse coupled neural network (PCNN) is proposed in this paper. First the method obtains normalized standard images by pre-processing the face images; and then uses PCNN model to extract the oscillation time sequenc...
A Novel Technique for Facial Recognition Based on the GSO-CNN Deep Learning Algorithmdoi:10.1155/2024/3443028MACHINE learningDEEP learningCONVOLUTIONAL neural networksHUMAN facial recognition softwareFEATURE extractionEMOTION recognitionFace recognition is one of the important elements that...
of a human face in a photograph or video, segmenting or normalizing the face from the “nonface” background, extracting predetermined facial features into a unique mathematical “faceprint” algorithm, and then matching the faceprint to a profile in a facial recognition technology database [23]...
SDKs are highly flexible for unique scenarios where you want complete control of the facial recognition algorithm. SDKs allow organizations to leverage facial recognition in existing workflows and processes, but it’s important to note that you will need robust internal computing and substantial ...
The first approach uses a constructive one-hidden-layer (OHL) feedforward neural network (OHL-NN) and the second approach is based on the K-means algorithm as classifiers. The 2-D DCT is used to compress the binarized edge images to capture the important features for recognition. Facial ...
fish-swarm algorithm for the RBF neural network and a model based on this method is developed.Finally the new algorithm is applied to the problem of expression recognition.The research indicates that the new algorithm has some advantages in terms of convergence performance,recognition rate and so ...
The rapid development of facial recognition technologies (FRT) has led to complex ethical choices in terms of balancing individual privacy rights versus de