This course covers several fundamental and interesting topics in computational photography and computer 
<br>vision, such as colorization, 
<br>texture synthesis, inpainting, HDR imaging, tone mapping, deblurring, stabilization, super-resolution, matting, 
<br>warping, matchmoving, 
<br>and so on. Students are expected to learn the selected topics, know how they can be used to create visual 
<br>effects in images and 
<br>videos, and acquire hands-on experience of related techniques. 
<br>
<br>
<br>Textbook
<br>Computer Vision for Visual Effects, Richard J. Radke, Cambridge University Press, 
<br>2012
<br>http://cvfxbook.com/
<br>
<br>Reference
<br>Computer Vision: Algorithms and Applications, Richard Szeliski, 2010
<br>http://szeliski.org/Book/
<br>
<br>Teaching Method
<br>3-hour lectures and discussions every week
<br>All assignments, readings, and projects are done in groups. 
<br>Each group contains 2-3 students.
<br>
<br>
<br>Topics
<br> 1 introduction, image formation, color, color harmonization, color grading
<br> 2 colorization, chrominance blending
<br> 3 texture synthesis, image analogies
<br> 4 inpainting, seam carving, internet-ba<x>sed inpainting, sparse coding
<br> 5 HDR imaging, tone mapping
<br> 6 bilateral filtering, nonlocal means, joint bilateral filtering
<br> 7 gradient domain compression, HDR related
<br> 8 intrinsic images, relighting
<br> 9 graphical models
<br>10 matting
<br>11 poisson image editing, patch-ba<x>sed editing
<br>12 warping and morphing, rigid morphing
<br>13 faces
<br>14 features and matching
<br>15 matching and dense correspondences
<br>16 dense correspondences
<br>17 matchmoving
<br>18 term project poster
<br>
<br>Evaluation
<br>85% assignments, readings, and projects
<br>15%: participation
<br>
<br>Course website
<br>TBA