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Face Recognition. eScience Project of MIT Comp 6702 (18 units). Introduction. Client: Professor Tom Gedeon Project Purpose: 1) Propose some new idea or do some enforcement on current Face Recognition Technology (FRT).
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Face Recognition eScience Project of MIT Comp 6702 (18 units)
Introduction • Client: Professor Tom Gedeon • Project Purpose: 1) Propose some new idea or do some enforcement on current Face Recognition Technology (FRT). 2) Do comparisons among our ideas and other existing method and analysis the comparison result
What is it about? The idea of FRT is to use technology to achieve the goal of the natural mechanisms of the human visual system. Why do we need it? Non-intrusive nature Extremely useful for the situation such as security, tracing the criminals and so on Introduction of FRT
Problems There are still a lot of restrictions on how the facial images are obtained. The result may be affected greatly from the variances in angles, expressions, illuminations and so on.
Trigram in FRT Find the patterns from the face image. Use small parts of the images as if they were words in a text file The process of identify a face is to find the images with similar pattern PCA Channel PCA method Limitation of PCA methods PCA Channels Our ideas
General Plan • Implement various FRTs, such as PCA, LDA and including the two we proposed. • Implement Neuro Network • Do comparisons among the Algorithms • Analysis the results and deliver the analysis report or paper • Finalize the software left from last semester • Integrate all the FRTs into one system
