Sylvain Paris

Sylvain Paris's work mainly focuses on extracting information from real images. The goal is to obtain data useful for Computer Graphics, i.e. suitable for rendering new images. During his Ph.D. with François Sillion, Paris developed new solutions to face relighting, shape reconstruction from image sequences, and for recovery of the 3D geometry of hair. The main results of this work are an optimal complexity algorithm for acquiring precise 3D models from several photographs, and a technique that exploits a video sequence to build a dense set of 3D lines that match someone's hairstyle.

Now, Paris is also interested in computational photography. I am looking at signal-processing techniques to apply them to digital photographs. Compared to traditional film photography, this unveils a large spectrum of possibilities to modify and enhance the picture content. Conversely, photography-related applications raise specific issues such as user interaction and photorealism, and cast a new light upon known signal-processing methods. First results in this domain is a fast image filter and a method to control the look of digital photographs.