Image and Video Compositing
Merging images and videos to create high-quality composites is a very difficult problem, and even professional artists using sophisticated tools can take many hours of work to create results that are photo-realistic. The goal of this project is to create tools that make image and video compositing easier by automating most of the process. To this end, we are developing algorithms that analyse and match the visual appearance of objects in images (i.e their color, contrast, noise, texture, and blur), and makes creating composites from diverse images very easy. We have also extended this work to video compositing where, by tracking and blending faces, we can replace them in video performances.