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 billf csail mit edu Fr do Durand fredo csail mit edu Teaching assistant Ce Liu celiu csail mit edu Email lists Staff comp photo staff csail mit edu Everyone comp photo csail mit edu 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 dynamicrange imaging human visual perception and color single view 3D model reconstruction morphing datarich 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 1 Course Syllabus Lecture Date Description 1 Tuesday Feb 7 Introduction and course overview 2 Thursday Feb 9 Image formation 3 Tuesday Feb 14 Color and color perception 4 Thursday Feb 16 Demosaicing Assignments PS 1 out Tuesday Feb 21 Monday schedule of class to be held 5 Thursday Feb 23 Image processing and wavelets 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 10 Tuesday March 14 Gradient image manipulation 11 Thursday March 16 Taking great pictures 12 Tuesday March 21 Markov random fields PS 1 due PS 2 out PS 2 due PS 3 out March 27 31 Spring Vacation 13 Thursday March 23 Non parametric image synthesis inpainting analogies 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 3 due PS 4 out 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 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 PS 5 due Project due 2