Facial Expression Recognition Based on Image Feature

Intelligent facial emotion recognition using a layered encoding cascade optimization model

“…In Method 1 (same as in [35]), LBP is used for feature extraction with AdaBoost for feature dimension reduction and SVM for facial expression recognition. In Method 2 (same as in [5]), Gabor filters are employed for feature extraction with PCA-based feature selection and a feedforward NN for facial emotion recognition. In Method 3, LGBP is used for feature extraction with AdaBoost for feature dimensionality reduction and the expression classifier is a feedforward NN.…”

Facial Expression Recognition for Color Images using Gabor, Log Gabor Filters and PCA

“…In this Eigen vectors and its Eigen values are computed. Mahesh Kumbhar et al [3] used Gabor filters to extract features from the image. PCA is used for feature reduction and feed forward neural networks as classifier.…”

Survey on an Accurate Facial Emotion Recognition System Based on Pca

“…Alternatively, face detection can be carried out by using the entire face [4], [5], making occlusion difficult to handle. Face detection methodologies classified on the basis of the image information used to aid in detection-color [16], geometric shape [7], or motion information [8], [9].The following figure shows the process of detection in a still image or image sequence.…”

“…In this paper, we present some method/techniques such as Eigen face approach, principal component analysis (PCA), Gabor wavelet, principal component analysis with singular value decomposition etc. which will directly or/and indirectly used to recognize human expression in several situations [7].…”