PHOTOGENIC - A Tool for Best Photo Generation from Multiple Group Photographs

• Published in: 2019 4th International Conference on Information Systems and Computer Networks (ISCON) pp. 191 - 195
• Main Authors: Singh, Karanjot, Agarwal, Saurabh, Sharma, Deepak
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-11-2019
• Subjects: and image processing; Cameras; Detectors; Ear; eye detection; Face detection; face swapping; Faces; Mouth; smile detection
• DOI: 10.1109/ISCON47742.2019.9036212

Cameras play an important role in capturing precious moments of people's lives in a photograph that can be seen and cherished by them or by their loved ones any time in their lives. This makes it imperative to have a perfect photograph which can describe that moment well. However, it is very difficult to time and capture a group photograph where everyone is looking their best. There are instances when multiple group photos are taken but in one of the photographs a particular person might have his/her eyes open and is smiling whereas someone else's eyes are closed because he/she was blinking. However, in another photograph that person has his/her eyes closed or is not smiling but rest of the people look good. Whatever the case may be, it becomes very difficult to have one perfect group photograph. Thus, if we can pick and blend the good facial features of each person from these multiple photos and merge into a single photo, we can get a better resultant group photograph with the best of their facial features in it. To do this, one could use softwares like Abode Photoshop or other such image editing tools. However, it requires the user to be well versed with that software and demands a lot of effort and user's valuable time to correct the photographs. To make this process easy and better, we have developed a tool that uses OpenCV at its core and follows a sequence of steps for generating the best photograph out of multiple group photographs clicked at a particular instance. By using this tool one can effortlessly get the best group photograph where everyone is smiling with their eyes open.