About this Video
How do non-photographers make photos look their best? Digital devices have opened up the craft of photography to the masses; what once took hours in the dark room can be done exponentially faster on a computer.
The problem remains that advanced photo-editing software can be daunting to learn. Sylvain Paris’s work as a researcher at Adobe aims to make it easier than ever to make photos look better by assessing professional workflows and creating better automation options. This interesting talk peeks behind the curtain of Photoshop and Lightroom to see how everyday picture-takers can get great results and even bend reality.
About the Speaker
Sylvain’s work focuses on extracting information from photographs and videos. His goal is to obtain useful data for Computer Graphics, i.e. suitable for rendering new images. During his PhD with François Sillion at INRIA, he developed new solutions to image-based modeling, mainly shape reconstruction from image sequences, and recovery of the 3D geometry of hair.
Since his post-doc at MIT with Frédo Durand, he has been interested in computational photography. He is looking at signal-processing techniques to apply them to digital photographs and videos. 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.
He is currently a researcher at Adobe, working in the Advanced Technology Labs where he is pursuing research on computational photography and image-based modeling.