[PDF] Top 20 Lights and shadows on face recognition

... risks and generates a search for updated ...scarce and fail to give continuous care to the growing number of elderly people with that diag- ...focuses on assessment methods to determine whether ... See full document

... vision and digital image ...objects and thus helps in selecting the edge features of the face images which play an important role in face recognition ... See full document

... Martinez and Robert Benavente in the Computer Vision Center ...men and 56 women) with 26 samples for each ...conditions and occlusions (sun glasses and ...imposed on participants ... See full document

... preprocessing face authentication for illumination variations. LDA and HMM techniques are used for face ...Ryu and Eung-Tae Kim [26] proposed pan-tilt- zoom (PTN) and fast face ... See full document

... approaches and with the advent of 3D scanners, face recognition research has shifted from 2D to 3D with a concurrent improvement in per- ...many face-recognition methods in 2D ... See full document

... 3D face recognition ...consistent and corresponding ...every face. The recognition methods that work directly on 3D point clouds consider the data in their original ... See full document

... message on the ...compiler and text editor, and some articles to improve on existing UNIX systems at the time to leave also in its message of search or edition of GNU by its ... See full document

... basic face recognition techniques are compared for different algorithms based on recognition rates (percentage) and elapsed ...set and test data set is used for comparison in all ... See full document

... (CNN) and a classification RBM (restricted Boltzmann machine) trained to perform ...the face image), presenting four convolutional layers and a max-pooling ...output and reorganizing the data ... See full document

... rotations and changes in expression do not significantly change the line/edge representations at coarser scales, and because in practical applications frontal and/or 3/4 views with different ... See full document

... example on the basis of the colour of the ...the recognition process by changing ...global and partial saliency maps obtained with different inhibition constants g in keypoint detection: the higher g, ... See full document

... fMRI face perception studies in an attempt to show that our findings are consonant with the workings of underlying physiological ...Kingstone, and Young [22] used an adapta- tion paradigm in which ... See full document

... Face recognition is a nonintrusive method, and facial images are probably the most common biometric characteristic used by humans to make a personal ...facial recognition range from a static, ... See full document

... anxiety and related emo- tions, the facial expressions of fear and anger are likely to be of particular ...environment. On the other hand, an angry face directed toward a particular individual ... See full document

... a face recognition algorithm can be divided into the following functional modules: a face image detector finds the locations of human faces from a normal picture against simple or complex background, ... See full document

... invariant face recognition varying from fore to summary view has been offered by Abhishek Sharma et al ...for face image representation in different poses and are used for effective fore view ... See full document

... expression recognition technology attracts more and more attention with people’s growing interesting in expression ...emotional and even physical states of the ...expression recognition has ... See full document

... In an attempt of creating human-computer interaction, immense progress has been car- ried out over the past ten or fifteen years. Probably everyone has encountered an example of human-computer interaction software at ... See full document

... depends on the computation of the Mean (µ) and the standard Deviation (std) ( ) before applying Eigen faces ...original face images due to its lighting and brightness ... See full document

... Human face detection plays an important role in applications such as video surveillance, human computer interfaces, face recognition, and face image ...problems and cannot work ... See full document