Conclusions

By completing this project I have proposed a novel solution that uses image processing tools and techniques to aid photographers when processing and editing photographs, based on the field of computational photography.

Summary of Achievements

• Researched image processing techniques- in order to process the images in the dataset
• Face detection- using SURF keypoint detection and FLANN feature matcher
• Scoring metric- to score the photographs and subsequently select the best photo from each group
• Dataset- collected a dataset of 2700 graduation photos to test the solution
• Eye & gaze detection- I created a new method for determining whether a subject was looking at the camera, using only the data available from a single image
• Rule of thirds- the determination as to whether photographs obeyed the rule of thirds
• Saving and UI- created a user interface was created to allow the end user to easily use the solution and adjust the weightings of the features
• User testing- obtained the opinions of over 200 people to reduce bias and improve general accuracy and reliability
• Platform- used C++ and the OpenCV library to implement the aims and objectives.