1 2017 CSE3/4VIS Visual Information Systems Assignment This assignment contributes 30% of your overall marks for students enrolled in CSE3VIS, and 20% of your overall marks for students enrolled in CSE4VIS. Please read this assignment sheet carefully before doing your jobs. Problem Summary : The assignment aims at consolidating your knowledge base and developing practical skills to build a face recognition system using eigenfaces. Your results will be as ked to present in two tables, which correspond to the combinations of cases with different image sizes (40x30 and 80x60) and different types of datasets (the training dataset and the test dataset). You need to investigate the effects of both the informatio n loss ratio used to determine the number of principal components and the parameter k used in k - NN classifiers. This is an INDIVIDUAL assignment and for both 3 rd and 4 th year students. You are NOT permitted to work as a group when completing this assig nment. The length of the assignment report is about 1200 words. Copying, Plagiarism: Plagiarism is the submission of somebody else’s work in a manner that gives the impression that the work is your own. The Department of Computer Science and Informatio n Technology at La Trobe University treats plagiarism very seriously. When it is detected, penalties are strictly imposed. • A penalty of 5% per day will be imposed on all late assignments up to 5 days. An assignment submitted more than five working days after the due date will NOT be accepted and zero mark will be assigned . • Students will not be granted an extension of the ass ignment deadline. Students are requested to submit an application for special consideration through Student Centre. In addition, students are advised to submit whatever incomplete work they have already done for the assignment. Where to Submit: (i) Yo ur assignment report (hardcopy) is to be submitted at a labelled box opposite to BG 139 lab . (ii) Your codes (zip them into a single file) should be electronically submitted through LMS. 3 • Based on your observations and data analysis on the results given in Table 1 - 2, please draw some conclusions and make comments on the eigenface technology for face recognition. [10 marks] Assessment Criteria (100 - 80 marks) - An excellent, well - written report and demonstrate good understandings on the eigen face techniques for face recognition. The developed system produces sensible results. You have analysed the performance of the system and drew some conclusions in an interesting and sound way. (79 - 60 marks) - A well - written report. You have produced a w orking system that produces good results. You have exhibited some initiative in the approach taken and the results are presented clearly. A sound analysis on the results is presented. (59 - 40 marks) - A reasonable report that demonstrate some understandi ngs on the eigenfaces techniques. The system performs reasonably well and the results are presented reasonably clearly. (39 - 20 marks) - A report that presents some results of a working system. Demonstrating some basic understandings on face recognition . (19 - 0 marks) - Either no report submitted or a report that shows little or no understanding on face recognition. 4 ~ End of Assignment Paper ~