Project IV 2011 - Project Four Eigenfaces v.s IHTfaces(Due...

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Project Four Eigenfaces v.s. IHTfaces (Due: 10:00am, April 19 for Parts I, II, III, and IV ; April 25 for Part V) Samples Images from Yale Face Database B General Instruction : This is an individual project but you are allowed to discuss in groups on all the issues related to the project. The final write up must be in your own words. Start to work on your project as early as possible. Purposes : 1. Apply the sparse representation method to the face recognition problem. 2. The IHT algorithm for sparse recovery. 3. Comparison of the performance of the different techniques by using Matlab. 4. Get familiar with some of the well- known data sets. Project Description: Part I: State clearly the method of sparse representation using L1 minimization and explain how it can be used to solve the face recognition problem (using math notations, not just sentences). Part II: State clearly the method of iterative hard thresholding (IHT) for sparse recovery and give an algorithm for solving the face recognition problem through sparse representation via IHT. Part III: Implement the IHT algorithm in Part II using the image data set used in Project III. Report on the
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This note was uploaded on 01/16/2012 for the course MAD 4103 taught by Professor Li during the Spring '11 term at University of Central Florida.

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Project IV 2011 - Project Four Eigenfaces v.s IHTfaces(Due...

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