6.098 Digital and Computational Photography 6.882 Advanced Computational Photography Spring 2006 Course schedule Tuesday and Thursday 1-2:30pm in room 36-155 Course homepage http://groups.csail.mit.edu/graphics/classes/CompPhoto06/ Instructors Bill Freeman [email protected] Frédo Durand [email protected] Teaching assistant Ce Liu [email protected] Email lists Staff: [email protected] Everyone: [email protected] Course contents Computational photography is a new field at the convergence of photography, computer vision, image processing, and computer graphics. It leverages the power of digital processing to overcome limitations of traditional photography and it offers unprecedented opportunities for the enhancement and enrichment of visual media. This advanced undergraduate course covers fundamentals and applications of hardware and software techniques, with an emphasis on software methods. The course will emphasize hands-on aspects and will culminate into a final project. The goal is to provide students with sufficient backgrounds to implement new solutions to photography challenges and opportunities. Topics include cameras and image formation, image processing and image representations, high-dynamic-range-imaging, human visual perception and color, single view 3D model reconstruction, morphing, data-rich photography, super-resolution, image-based rendering. 6.882 meets with 6.098, but requires completion of additional homework and the presentation of a research paper. Assignments Programming assignment will be in Matlab. Students are not required to own a digital camera, although it might help. Cameras will be available for loan. Grading 6.098: assignment 75%, final project 25% 6.882: assignment 70% (additional questions compared to 6.098), final project 22%, paper review 8% (read and write a review for a paper from the literature) 1Course Syllabus Lecture Date Description Assignments 1 Tuesday, Feb 7 Introduction and course overview 2 Thursday, Feb 9 Image formation PS 1 out 3 Tuesday, Feb 14 Color and color perception 4 Thursday, Feb 16 Demosaicing Tuesday, Feb 21, Monday schedule of class to be held 5 Thursday, Feb 23 Image processing and wavelets PS 1 due, PS 2 out 6 Tuesday, Feb 28 Applics of wavelets, Heeger/Bergen texture synthesis 7 Thursday, March 2 Matting 8 Tuesday, March 7 High dynamic range image 9 Thursday, March 9 Bilateral filtering and HDR display PS 2 due, PS 3 out 10 Tuesday, March 14 Gradient image manipulation 11 Thursday, March 16 Taking great pictures 12 Tuesday, March 21 Markov random fields March 27-31, Spring Vacation 13 Thursday, March 23 Non-parametric image synthesis, inpainting, analogies PS 3 due, PS 4 out 14 Tuesday, April 4 Tampering detection and higher-order statistics 15 Thursday, April 6 Panoramic imaging 16 Tuesday, April 11 Image and video registration 17 Thursday, April 13 Spatial warping functions PS 4 due, PS 5 out Tuesday, April 18, Patriots Day--Vacation 18 Thursday, April 20 Motion analysis 19 Tuesday, April 25 Temporal sequence re-rendering 20 Thursday, April 27 Active flash methods PS 5 due 21 Tuesday, May 2 Lens technology 22 Thursday, May 4 Depth and defocus 23 Tuesday, May 9 Non-photorealistic rendering 24 Thursday, May 11 Future cameras 25 Tuesday, May 16 Plenoptic function and light fields 26 Thursday, May 18 Student project presentations Project due