Course Outline

• Week 1 (Perona) -- A simple range imager Pointwise scene reconstruction using a stereoscopic active lighting setup. Triangulation. Brightness normalization. Boundary recovery. Depth recovery. Calibration.
• Week 2 (Schröder) -- Scene modellingInterpolation of scene data using subdivision surface methodologies
• Week 3 (Arvo) -- Scene rendering Rendering by texture mapping in the Lambertian case. Hidden surface elimination. Putting 3D objects on the WWW.
• Week 4 (Perona) -- Passive n-frame stereoscopy Recovering scene depth from n-frames.
• Week 5 (Perona/Schröder) -- Issues in scene modeling Recovery and modeling of discontinuities and creases. Advanced issues in surface representation.
• Week 6 (Arvo) -- Issues in rendering Aliasing in texture mapping. Separating light source and reflectance.
• Week 7 (Perona) -- Noise end error models Modelling the noise and the errors in scene reconstruction. Practical error estimation.
• Week 8 (Schröder/Arvo) -- Merging patches Connecting surface patches to obtain a complete all-round object model.
• Week 9 (Schröder/Arvo) -- Putting 3D objects on the web Java primitives for rendering 3D objects.
• May 7 Structure from N views (Perona).
• May 9 Techniques for correspondence -- Feature Tracking (Perona)
• May 14 More on reflection (Arvo)
• May 16 Multiresolution modeling (Schroeder)
• May 21 Volume techniques for 3D reconstruction (Schroeder)
• May 23 Guest lecture (Paul Debevec)
• May 28 Student presentations
• May 30 Student presentations + wrap-up of class

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