[PDF] Top 20 Three-dimensional face recognition under expression variation

... against expression variations, we classified 1,648 faces with expression as the non-neutral dataset (411 persons), while 2,359 neutral faces as the neutral dataset (422 ... See full document

... Face recognition system that is robust against facial expressions by combining information from the computed intraperson optical flow and the synthesized face ...contains face models, each ... See full document

... In this paper, we provide a comprehensive survey of deep FR from two aspects of data and algorithms. For algorithms, some mainstream and special network architectures are presented. For data, we summarize some commonly ... See full document

... -A Face Recognition system is computer application for automatically identifying or verifying a person from a digital image or a video ...condition, expression, occlusion, rotation, etc. the human ... See full document

... [4]. Face verification is the process of verifying whether two faces are of the same person or ...as variation of pose, hairstyle and face expression ...of face verification approach ... See full document

... facial expression plays a vital role in the interaction since the expressions convey more information than spoken words and it allows to recognize the emotions without wearing sensors and monitoring ...Emotion ... See full document

... A neighbor pixel has a greater or equal value to the center pixel, then a logic high bit "1" is allocated to that pixel, otherwise, it gets the logic bit "0“and produce binary output. LBP method describes ... See full document

... real-time face detection algorithm for locating faces in images and videos is a one of the main research area in computer ...emotion recognition from facial expressions in static color images containing the ... See full document

... a face using Principal Components Analysis based Genetic Algorithm in the area of computer vision is described in this ...paper. Face recognition has been one of the interesting and important ... See full document

... as expression, etc., for the face of the same individual over different ...For recognition to be performed, model graphs of a set of faces have to be trained into the library, and an image graph from ... See full document

... Chinese face database was collected at the Chinese Academy of Sciences ...pose, expression, accessory, lighting, background, distance, and ...Facial Recognition Technology (FERET) database was ... See full document

... low-resolution face images, but not good for severe illumination varia- ...the face images cap- tured under variable lighting conditions may cause the lin- ear subspace approaches ...low-resolution ... See full document

... One method of classifying facial expressions that has quite good accuracy based on several previous studies, PCA (Principal Component Analysis) or often referred to as Eigenfaces is a multifunctional method to use, ... See full document

... years, face recognition has received much attention in many areas such as entertainment, information security, law enforcement, and surveillance ...the face- recognition methods such as ... See full document

... In the studies using 3-D facial data, only a few consider facial occlusion detection, removal, restoration and missing data handling. In [11], author has proposed a method to detect occlusions by analyzing the difference ... See full document

... of variation in face recognition is facial expressions, especially in the frequent case where only a single sample per person is available for ...The face recognition framework is ... See full document

... We investigate the use of facial surface data, taken from 3D face models, as a substitute for the more familiar twodimensional Images.. We take a well-known method of face recognition, n[r] ... See full document

... modular face acknowledgment has just been investigated by the biometrics group moderately as of ...visible face recognition is one of the most difficult cross- modal face recognition ... See full document

... Face recognition, a kind of biometric identification, researched in several fields such as computer vision, image processing, and pattern recognition is a natural and direct biometric method ... See full document

... illumination variation, thus in [10] the authors have recommended improvements by utilizing the tangent inverse of the ratio between magnitude of image gradient and the image intensity value, in order to remove ... See full document