[PDF] Top 20 Human face profile recognition

... of 4 people's face Fourier descriptors Figure 5.4 Euclidean distance 7 face Fourier descriptors 41 vectors 42 vectors of 7 face profiles of the same person comparisons of the Fourier des[r] ... See full document

... Face recognition research has also been about for over three decades with comprehensive surveys like Zhao et ...Classical face recognition research was based on matching single pair’s holistic ... See full document

... whereas three steps are found in features extraction stage includes: cooccurrence matrix determination, features computation, and features normalization. Then, LDA is applied on the features array to indicate the ... See full document

... high recognition score proves that the textural features are good descriptor for face recognition, and the behaviors of the textural features were monotonic with the variation of dataset size, and ... See full document

... realize the closely related or same features and apply these features in real life practical applications. Many research effort has been put to derive ideas from biological paradigms in order to make efficient ... See full document

... Biometrics is an evolving technology, with potential to make human’s lives easier and safer. Biometric has a wide range application especially in surveillance; security monitoring, immigration, for identification and ... See full document

... automatic face recognition[11]. Face recognition has attracted attention from the research and industrial communities with a view to achieve a “handsfree” computer controlled systems for ... See full document

... the face recognition ...best recognition rate using FRGC 2.0.4 which is the most challenging face database with images under uncontrolled conditions indicated ...70% face coverage by a ... See full document

... in human association and correspondence since it contains basic and fundamental data with respect to ...in human- PC environment is huge and challenging. The human facial emotion recognition ... See full document

... gait recognition algorithms are based on the human ...for recognition. Application areas for machine vision based gait recognition are usually surveillance and ...his face and puts ... See full document

... of face recognition utilizing PCA and ICA on FERET database with various classifiers [31] [32] were talked about and discovered that the ICA would be advised to recognition rate as contrasted and PCA ... See full document

... Artificial Face Recognition is one of the popular areas of research in Image ...biometric recognition because faces are complex, multidimensional and almost all human faces have a similar ... See full document

... and human subjective ...that face perception of pain is organized around ‘fuzzy’ cases such that human observers judge a pain face based on their recognition that one face is ... See full document

... Speaker recognition can be classified into speaker identification and speaker ...Speaker recognition is different from speech ...speech recognition it is the words, not the speaker that must be ... See full document

... Face detection[10][11][12][13][14] is an required step in the process of face ...recognition. Face detection is a way to detach human faces area from the background and find its ... See full document

... scenario, Human face detection by computer systems has become a major field of ...interest. Face detection algorithms are used in a wide range of applications, such as security control, video ... See full document

... the recognition rate ...the recognition rate changes with changing the style of images ...highest recognition rate is ...the recognition rate in histogram based method is higher than that in ... See full document

... Face recognition accuracy depends heavily on how well the input images have been compensated for pose illumination and facial ...same face due to illumination and viewing direction are always larger ... See full document

... of human-computer ...expression recognition. Human Face expression recognition is one of the most challenging tasks in social ...Generally, face expressions are natural and ... See full document

... Using Principal Component Analysis on a set of human face images, a set of Eigen faces can be generated. Eigen faces are a set of eigenvectors used mostly in human face recognition. ... See full document