We were a four-member team, Debashish Barua, Rakesh Ramesh, Eirik Fosser, and Alexander Svae.
- He brings his over three years of professional work experience to the table. He applied his acquired Project Management skills to lead the project and made sure the deliverables are met.
- He has shown his exceptional coding skills in developing the project on Android.
- Despite facing enormous challenges on building the application on a mobile platform, Debashish never gave up and strived on to complete the project on time.
- He brings his immense technical knowledge on Image Processing to the table.
- His inquisitive questioning skills about every step lead to the overall success of the project.
- He performed a significant amount of research in a limited time to come up with different algorithms that were used in the project.
Eirik Fosser and Alexander Svae
- Tested and worked on the possibility of using p-tile thresholding to increase accuracy of eye-corner detection. After testing it did not give us the results we hoped and it was not accurate enough to provide a good enough cropping of the eyes.
- Tested and worked on using the FAST feature detection algorithm to find corners of the eyes from the cropped image.
- Main contribution has been testing possible solutions to use in the project.
Individual performances were great, but the success of the project was driven by a complete team effort.