Perfect Group Photo Synthesis

In a group photo, individual facial expressions can fatally affect the quality of the whole photo. However, it is a laborious task for most people to synthesize a perfect group photo using current photo editing software. To solve this problem, an automatic perfect group photo synthesis algorithm is proposed in this paper by judging facial expressions and replacing faces. This algorithm proceeds in four steps. First, faces in group photos are recognized and saved. Then, by evaluating facial expressions for each person, one face with the best expression is selected. Finally, a final synthesizing group photo is produced by color transferring and image completing. Experimental results prove that this algorithm is effective and can be used to synthesize better group photos automatically.