Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 7 of 7 for “"Human face recognition"”.
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From representation to recognition : MEG studies of face perception
Face recognition is one of the most important problems our visual system must solve. Here I used magnetoencephalography (MEG) in an effort to characterize the sequence of cognitive and neural processes underlying this remarkable ability. This work is designed to answer several questions. First, how …
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Cognitive representation of facial asymmetry
The human face displays mild asymmetry, with measurements of facial structure differing from left to right of the meridian by an average of three percent. Presently this source of variation is of theoretical interest primarily to researchers studying the perception of beauty, but a very limited …
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Deep learning for face detection using matlab
This project report presents face detection using Convolutional Neural Network algorithm and Deep Learning combination (DCT / DL) throughout MATLAB simulation and modeling. It reveals that the research project has successfully managed to establish an accurate accurate human face detection and …
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Automatic human face detection in color images
Automatic human face detection in digital image has been an active area of research over the past decade. Among its numerous applications, face detection plays a key role in face recognition system for biometric personal identification, face tracking for intelligent human computer interface (HCI), …
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Face Recognition: Study and Comparison of PCA and EBGM Algorithms
Face recognition is a complex and difficult process due to various factors such as variability of illumination, occlusion, face specific characteristics like hair, glasses, beard, etc., and other similar problems affecting computer vision problems. Using a system that offers robust and consistent …
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Real Time Driver Safety System
… on finding a driver’s drowsy eyes by using face detection technology. The human face is a dynamic object and has a high degree of variability; that is why face detection is considered a difficult problem in computer vision. Even with the difficulty of this problem, scientists and computer …