Project 1:
Hybrid Images
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Project
2: Image Quilting
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Project
3: Gradient Domain Fusion
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Project 4:
Image-based Lighting
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Project 5:
Video Stitching
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Final Project
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Class Schedule
Week |
Date |
Topic |
Link |
Reading/Notes |
1 |
Aug 24 – Aug 30 |
Introduction |
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Basics of
Working with Images |
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1 |
Pixels and image filters |
S3.2 (linear filtering) S3.3 (non-linear filtering) |
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2 |
Aug 31 – Sept 6 |
Thinking in frequency |
S3.4 (fourier transforms) S2.3.3 (compression) |
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2 |
Templates and image pyramids |
S3.5.2 (image pyramids) S8.1.1 (pyramid alignment) Other reading: |
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3 |
Sept 7 – Sept 13 |
Light and color |
S2.2 (light), S2.3.2 (color) or Forsyth and Ponce Ch 3 |
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3 |
Histograms and color adjustment |
S3.1 (histograms and color adjustment) |
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Sept 14
(Mon) |
Project 1
(Hybrid images) due |
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|
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The Digital
Canvas: Coloring, Blending, Cutting, Synthesizing, and Warping Images |
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4 |
Sept 14 – Sept 20 |
Growing: Texture synthesis and hole filling |
Texture
Synthesis – Efros Leung (1999) Image
Quilting – Efros Freeman (2001) |
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4 |
Cutting: Intelligent Scissors and Graph Cuts |
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5 |
Sept 21 – Sept 27 |
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) |
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Sep 28 (Mon) |
Project 2 (Image quilting) due |
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6 |
Sept 28 – Oct 4 |
Image morphing |
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Modeling
the Physical World |
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6 |
The Pinhole Camera |
S2.1.5 (3D to 2D projection) |
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7 |
Oct 5 – Oct 11 |
Single-view Metrology + Camera Model continued |
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7 |
Single-view 3D Reconstruction |
Tour into the picture (Horry et
al. 1997) |
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8 |
Oct 12 –
Oct 18 |
Midterm
Exam (schedule with ProctorU) |
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9 |
Oct 19 – Oct 25 |
Image-based Lighting: ray tracing, environment maps, light
probes |
Reading (do read this): |
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9 |
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 |
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Oct 26
(Mon) |
Project 3
(Gradient domain fusion) due |
|
|
10 |
Oct 26 – Nov 1 |
The image as a virtual stage |
Rendering
Synthetic Objects (Karsch et al. 2011) |
|
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Correspondence
and Recognition |
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|
|
10 |
Matching and alignment with interest points |
Grauman/Leibe Draft Chapter on
Local Features Optional: Lowe - SIFT paper |
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Nov 2 (Mon) |
Final
Project Proposal due |
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11 |
Nov 2 – Nov 8 |
Automatic Photo Stitching and RANSAC |
Brown Lowe 2007 ; S9 (stitching); slides |
|
11 |
Object recognition, retrieval, and augmented reality |
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Nov 9 (Mon) |
Project 4
(Image-based lighting) due |
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12 |
Nov 9 – Nov 15 |
Opportunities of scale: texture synthesis, multi-view
reconstruction, im2gps, tiny images, etc. |
Reading: Hays & Efros,
Scene Completion Using Millions of Photographs |
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More Topics
of Interest |
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|
12 |
Generating and detecting fakes |
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13 |
Nov 16 – Nov 20 |
How the Kinect works |
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13 |
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) |
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Nov 21 –
Nov 29 |
Fall Break |
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Nov 30
(Mon) |
Project 5
(Video stitching) due |
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14 |
Nov 30 – Dec 6 |
Understanding Faces |
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14 |
Video Magnification |
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15 |
Dec 7 – Dec 9 |
Last day – cutting edge and wrap up |
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Dec 9 (Wed) |
Final
Project due |
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16 |
Dec 11 – Dec 18 |
Final Exam (schedule
with ProctorU) |
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