1. HCI 575X Project Madhuri Rapaka Sachin Chopra Trevor Garson

2. Introduction – Tagging a Photo

3. Introduction – Tagging Automated Tool to Tag all your Photographs within minutes 2 – Pass Processing –Face Detection – Run the tool to detect all faces in a picture. Name them for initial Learning Model. –Face Recognition – Run the tool to Tag all the photographs automatically.

4. Method & Tools Used Train the tool by specifying name for different faces in a photograph. Run the tool on a specified directory to Tag all the photographs according to the training module. Graphical User Interface – Java Face Detection and Recognition – OpenCV

5. Benefits No hassle in Tagging Photographs –No drawing of rectangle required. –Just type in the name once and tag in all photographs. No Internet required, Tag in offline mode –Extend the Internet – based tagging onto your photo library.

6. Performance and Evaluation Increase Face Detection accuracy by coupling two or more different Face Recognition Techniques. Manually Compare with a Control Library which has all the tagged photographs.

7. Some Screenshots…..

8. Organized Library

9. Photos of a Single Person

10. Face Detection: Good Result

11. Face Detection: Bad Result

12. The End