Monday April 16 , 10h30 - 11h30 , room F107 , Seminar

Sylvain Paris (MIT, Computer Science and Artificial Intelligence Laboratory)

Exploiting the Richness of Digital Photographs and Videos

Cameras have become popular with the recent development of digital equipment. Today, it is extremely simple to take high-resolution pictures and movies, thereby giving easy access to an abundance of information. However, the size and number of acquired images challenge most existing algorithms. In this context, I will present my work on computational photography and low-level image processing. I will first expose a method to transfer the visual qualities of an artist’s photograph to another picture. This method makes it easy for novice photographers to achieve compelling renditions and can also improve the workflow of professionals. In the second part, I will describe the bilateral filter, a nonlinear edge-preserving process which is becoming ubiquitous in computational photography. I will reformulate this filter in a higher-dimensional homogeneous space and show that, using signal-processing arguments, it is possible to very quickly compute an approximation visually similar to the exact result. Finally, I will briefly present my on-going projects that extend these ideas to image segmentation and video processing.