A. 8:30 - 8:40, 10 min
Introduction
1. Overview of area and the course
2. Speaker introductions
B. 8:40 - 9:30, 50 min
Sensing for vision and graphics (Nayar)
1. The dimensions of visual sensing
2. Catadioptric vision
3. Panoramic and omnidirectional cameras
4. Spherical mosiacs
5. Single camera stereo
6. Radiometric self calibration
7. High dynamic range imaging
8. Vision and the atmosphere
9. Structure from bad weather
C. 9:30 - 10:00, 30 min
Overview of passive vision techniques (Seitz)
1. Cues for 3D inference (parallax, shading, focus, texture)
2. Single view techniques
3. Multiple view techniques
- Stereo
<> 10:00 - 10:15 Break
D. 10:15 – 10:30, 15 min
Overview of passive vision techniques (Seitz)
3. Multiple view techniques
- Structure from motion
4. Other approaches
E. 10:30 - 11:15, 45 min
Voxels from images (Seitz)
1. Voxel-based scene representation
2. Volume intersection
- Shape from silhouettes
3. Voxel coloring
4. Space carving
5. Related techniques
F. 11:15 - 12:00, 45 min
Façade: modeling architectural scenes (Debevec)
1. Constrained structure recovery
- Architectural primitives
2. Photogrammetry
- Recovering camera parameters
- Importance of user-interaction
3. Model-based stereo
4. Connections to image-based rendering
- Impact of geometric accuracy on rendering quality
- Local vs. global 3D models
<> 12:00 - 1:30 Lunch
G. 1:30 - 2:15, 45 min
Overview of active vision techniques (Curless)
1. Imaging radar
- Time of flight
- Amplititude modulation
2. Optical triangulation
- Scanning with points and stripes
- Spacetime analysis
3. Interferometry
- Moire
4. Structured light applied to passive vision
- Stereo
- Depth from defocus
5. Reflectance capture
- From shape-directed lighting
- Using additional lighting
H. 2:15 - 3:00, 45 min
Desktop 3D photography (Bouguet)
1. Traditional scanning is expensive, but...
desklamp + pencil = structured light
2. The shadow scanning technique
- Indoor: on the desktop
- Outdoor: the sun as structured light
3. Calibration issues
4. Temporal analysis for improved accuracy
5. Error Analysis
<> 3:00 - 3:15 Break
I. 3:15 - 3:55, 40 min
Shape and appearance from images and range data (Curless)
1. Registration
2. Reconstruction from point clouds
3. Reconstruction from range images
- Zippering
- Volumetric merging
4. Modeling appearance
J. 3:55 - 4:55, 60 min
Application: The Digital Michelangelo Project (Levoy)
1. Goals
- Capturing the shape and apperance of:
- Michelangelo's sculptures
- Renaissance architecture
2. Motivation
- Scholarly inquiry
- Preservation through digital archiving
- Virtual museums
- High fidelity reproductions
3. Design requirements
- Geometry: from chisel marks to building facades
- Appearance: reflectance of wood, stone, marble
4. Custom scanning hardware
5. Capturing appearance with high resolution photographs
G. 4:55 - 5:00, 5 min
Closing
<> Adjourn