MAS.531 Computational Camera and Photography
Covers the complete pipeline of computational cameras that attempt to digitally capture the essence of visual information by exploiting the synergistic combination of task-specific optics, illumination, sensors, and processing. Students discuss and use thermal, multi-spectral, high-speed and 3-D range-sensing cameras, as well as camera arrays. Presents opportunities in scientific and medical imaging, and mobile phone-based photography. Also covers cameras for human computer interaction (HCI) and sensors that mimic animal eyes. Intended for students with interest in algorithmic and technical aspects of imaging and photography. Students taking graduate version complete additional assignments.
This class has no prerequisites.
MAS.531 will be offered this semester (Fall 2017). It is instructed by R. Raskar.
This class counts for a total of 12 credits. This is a graduate-level class.
In the Fall 2013 Subject Evaluations, MAS.531 was rated 6.0 out of 7.0. You can find more information on MIT OpenCourseWare at the Computational Camera and Photography site or on the MAS.531 Stellar site.
© Copyright 2015 Yasyf Mohamedali