Camera Culture
Social interaction is increasingly based on pervasive recording and eager consumption of images and video. But photographs are a poor substitute for direct visual observation.
We focus on building modern optical and software tools to capture and distill a meaningful abstract of the visual experience. Our goal is to extend the performance of these devices so that they can sense the world at an extremely fine resolution, along multiple dimensions, and then develop tools that enable decomposition of the captured light recordings into perceptually critical components.
Project topics include (i) computational photography via novel feature revealing cameras; (ii) femtosecond analysis of light transport with sophisticated illumination; (iii) Second Skin, a bio-i/o platform for motion capture via wearable imperceptible fabric; and (iv) universal encoder for sharing and consumption of visual media.
Students with backgrounds in one or more of the following areas: computational photography and computational imaging, signal processing, applied optics, computer vision and display. Postdoctoral applicants should contact Professor Raskar directly.
