CS 4475 (3-0-3): Computational Photography – (Instructor: Irfan Essa) – This class explores perceptual and technical aspects of pictures, and more precisely the capture and depiction of reality on a 2D medium. The scientific, perceptual, and artistic principles behind image-making will be emphasized. Topics include the relationship between pictorial techniques and the human visual system; intrinsic limitations of 2D representations and their possible compensations; and technical issues involving depiction. Technical aspects of image capture and rendering, and exploration of how such a medium can be used to its maximum potential, will be examined. Students are strongly encouraged (not required) to bring their digital cameras and a laptop to facilitate experiments.
- Classes offered:
- Sometimes this class is offered as an advanced graduate class too, with more in-depth coverage of all concepts:
Syllabus
- Introduction to Computational Photography
- History of Photography and Computational Photography
- Digital Representation of Images
- Image Processing, Filtering
- Feature Detection and Matching
- Cameras, Optics, and Sensors
- Light, Aperture, and Exposure
- Image Editing and Synthesis
- Image Blending
- Epsilon Photography
- Panoramas
- Photosynth
- High-Dynamic Range Imaging
- Image Mosaics, Montages, Collages
- Computational Cameras
- Coded Photography
- Computational Video
- Video Textures and Video Synthesis
- Image and Video Stabilization
- Plenoptic Imaging and Light Fields
Overall, in this class. you will learn about:
- The Medium of Photography (History to Modern Technologies)
- Digital Imaging (Sensors to Software)
- Computational Processes associated with Imaging and Photography
- Computation as applied to Digital Media.
- Image Analysis and Synthesis
- Images and Photography on the Web/Internet
- Storytelling with images (and computation).
Text & Reading Material.
- [RS] Richard Szeliski (2010) Computer Vision: Algorithms and Applications; by (see link or link for a draft of this book available online)
- Alternatively (not required, but may help) [PF] Forsyth & Ponce (2012), Computer Vision: A Modern Approach, Pearson (see link)
-
Other material available online.
Acknowledgments
Assignments and ideas on this syllabus build on those from everyone who has taught this material before. See [Resources] for pointers to other information that supports this class.
