Project 1:
Hybrid Images
|
Project
2: Image Quilting
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Project
3: Gradient Domain Fusion
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Project 4:
Image-based Lighting
|
Project 5:
Video Stitching
|
Final Project
|
Class Schedule
Week |
Date |
Topic |
Link |
Reading/Notes |
1 |
Jan 18 – Jan 23 |
Introduction |
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|
|
Basics of
Working with Images |
|
|
1 |
|
Pixels and image filters |
S3.2 (linear filtering) S3.3 (non-linear filtering) |
|
2 |
Jan 24 – Jan 30 |
Thinking in frequency |
S3.4 (fourier transforms) S2.3.3 (compression) |
|
2 |
|
Templates and image pyramids |
S3.5.2 (image pyramids) S8.1.1 (pyramid alignment) Other reading: |
|
3 |
Jan 31 – Feb 6 |
Light and color |
S2.2 (light), S2.3.2 (color) or Forsyth and Ponce Ch 3 |
|
3 |
|
Histograms and color adjustment |
S3.1 (histograms and color adjustment) |
|
|
Feb 9
(Wed) |
Project 1
(Hybrid images) due |
|
|
|
The Digital
Canvas: Coloring, Blending, Cutting, Synthesizing, and Warping Images |
|
|
|
4 |
Feb 7 – Feb 13 |
Growing: Texture synthesis and hole filling |
Texture
Synthesis – Efros Leung (1999) Image
Quilting – Efros Freeman (2001) |
|
4 |
|
Cutting: Intelligent Scissors and Graph Cuts |
||
5 |
Feb 14 – Feb 20 |
Pasting: Compositing and blending |
Poisson
Image Editing – Perez et al. (2003) Burt
and Adelson, A multiresolution spline with
application to image mosaics, ACM ToG (1983) |
|
5 |
|
Image warping (translation, rotation, scale, etc.) |
S3.6 (warping) |
|
|
Feb 23 (Wed) |
Project 2 (Image quilting) due |
|
|
6 |
Feb 21 – Feb 27 |
Image morphing |
||
|
|
Modeling the
Physical World |
|
|
6 |
|
The Pinhole Camera |
S2.1.5 (3D to 2D projection) |
|
7 |
Feb 28 – Mar 6 |
Single-view Metrology + Camera Model continued |
||
7 |
|
Single-view 3D Reconstruction |
Tour into the picture (Horry et
al. 1997) |
|
8 |
Mar 5 – Mar 11 |
Midterm
Exam (on PrarieLearn) |
|
|
8-9 |
Mar 12 – Mar 20 |
Spring Break |
|
|
10 |
Mar 21 – Mar 27 |
Image-based Lighting: ray tracing, environment maps, light
probes |
Reading (do read this): |
|
10 |
|
Image-based Lighting cont.: HDR light probes, relighting |
Optional
Reading: Debevec & Malik, “Recovering High Dynamic Range
Radiance Maps from Photographs”, SIGGRAPH 1997 Debevec, Rendering Synthetic Objects in Real Scenes, 1998 |
|
|
Mar 30 (Wed) |
Project 3
(Gradient domain fusion) due |
|
|
11 |
Mar 28 – Apr 3 |
The image as a virtual stage |
Rendering
Synthetic Objects (Karsch et al. 2011) |
|
|
Correspondence
and Recognition |
|
|
|
11 |
|
Matching and alignment with interest points |
Grauman/Leibe Draft Chapter on
Local Features Optional: Lowe - SIFT paper |
|
|
Apr 1 (Fri) |
Final
Project Proposal due |
|
|
12 |
Apr 4 – Apr 10 |
Automatic Photo Stitching and RANSAC |
Brown Lowe 2007 ; S9 (stitching); slides |
|
12 |
|
Object recognition, retrieval, and augmented reality |
||
|
Apr 13
(Wed) |
Project 4
(Image-based lighting) due |
|
|
13 |
Apr 11 – Apr 17 |
Opportunities of scale: texture synthesis, multi-view
reconstruction, im2gps, tiny images, etc. |
Reading: Hays & Efros,
Scene Completion Using Millions of Photographs |
|
|
|
More Topics
of Interest |
|
|
13 |
|
Generating and detecting fakes |
||
14 |
Apr 18 – Apr 24 |
How the Kinect works |
||
14 |
|
Computational approaches to cameras |
Adelson
& Bergen, The Plenoptic Function and the Elements
of Early Vision (1991) Ng
et al., Light Field Photography with a
Hand-held Plenoptic Camera (2005) Levin
et al., Image and Depth with a Coded Aperture (2007) |
|
|
Apr 27
(Wed) |
Project 5
(Video stitching) due |
|
|
15 |
Apr 25 – May 1 |
Understanding Faces |
|
|
15 |
|
Video Magnification |
|
|
|
|
|
|
|
16 |
May 2 – 4 |
Last day – cutting edge and wrap up |
|
|
May 8 (Sun) |
Final
Project due (cannot be late) |
|
|
|
16-17 |
May 6 – May 13 |
Final Exam
(on PrairieLearn) |
|