Position: Computer Vision Research Intern Period: May 2012 to August 2012 PROJECTS  + Analytical study of the SIFT Matching on various parametersettings: This project was an experimental evaluation of SIFTMatching based different settings including (JPEG compression (Model and TestImage), different resolution, w/wo clutter [artificial features], w/woUpSampling). The recommendations of thisstudy was important especually .      Year: 2012      Tools: C++, Python      Responsibilities: Complete design and Implementation.  + Discriminative Image Classification:Co-segmentation Approach: This projects seeks to classifyimages that may share common regions correctly by extracting probability imagethat indicate for each region probability of being discriminative. Then theseprobabilities are used in a proposed classification algorithm. This prosedalgorithm adopts a graph cut approach to determine discriminative regions anduse the correlation and matching between the pair of images to determine theprobability image.      Year: 2012      Tools: C++, Python,      Responsibilities: Complete design and implementation. |
Work Experience‎ > ‎