简介: |
Computational Photography and Bilateral Image Decomposition
Frédo Durand
MIT CSAIL
http://people.csail.mit.edu/fredo/
The digital photography revolution has greatly facilitated the way in which we take and share pictures. However, it has mostly relied on a rigid imaging model inherited from traditional photography. Computational photography and video go one step further and exploit digital technology to enable arbitrary computation between the light array and the final image or video. Such computation can overcome limitations of the imaging hardware and enable new applications. It can also enable new imaging setups and post-processing tools that empower users to enhance and interact with their images and videos.
This talk describes new imaging architectures as well as software techniques that leverage computation to facilitate the extraction of information and enhance images. In particular, Prof. Durand will describe the use of a bilateral decomposition of images into a large-scale and a detail component using an edge-preserving approach. He will describe a variety of techniques that build on such decomposition for tone mapping, relighting, style transfer and flash photography. Finally, Porf. Durand will describe a new data structure, the bilateral grid, which naturally enables edge-preserving image manipulations by lifting images into a higher-dimensional space.
About Frédo Durand:
Frédo Durand is an associate professor in Electrical Engineering and Computer Science at the Massachusetts Institute of Technology, and a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL). He received his PhD from Grenoble University, France, in 1999, supervised by Claude Puech and George Drettakis. From 1999 till 2002, he was a post-doc in the MIT Computer Graphics Group with Julie Dorsey. He works both on synthetic image generation and computational photography, where new algorithms afford powerful image enhancement and the design of imaging system that can record richer information about a scene. His research interests span most aspects of picture generation and creation, with emphasis on mathematical analysis, signal processing, and inspiration from perceptual sciences. He co-organized the first Symposium on Computational Photography and Video in 2005 and was on the advisory board of the Image and Meaning 2 conference. He received an inaugural Eurographics Young Researcher Award in 2004, an NSF CAREER award in 2005, an inaugural Microsoft Research New Faculty Fellowship in 2005, a Sloan fellowship in 2006, and a Spira award for distinguished teaching in 2007. |
