3D Photography
FALL 2003
Prof. Ioannis Stamos
Tentative Schedule and Papers

• Lectures: Introduction and Overview.
  
• Introduction to 3D Photography.
• Introduction to Open Inventor Libraries.
• A Complete 3D Modeling System.
  
• Reading:
• Fausto Bernardini etal. Building a Digital Model of Michelangelo's Florentine Pieta, Computer Graphics and Applications, 2002
• Pieta Project web site.
  

Sep. 9

• The importance of Transformations in Computer Vision.
  
• Alignment of 3D Point Sets (Range Registration).
  
• Reading:
• Andrew E. Johnson and Martial Hebert, Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 21, NO. 5, MAY 1999.
• D. Huber and M. Hebert, Fully Automatic Registration of Multiple 3D Data Sets, IEEE Computer Society Workshop on Computer Vision Beyond the Visible Spectrum(CVBVS 2001), December, 2001.
• I. Stamos and M. Leordeanu, Automated Feature-Based Range Registration of Urban Scenes of Large Scale, IEEE International Conference of Computer Vision and Pattern Recognition 2003, pp. 555-561, Vol. II, Madison, WI.

Sep. 16

• Grouping 3D Points into Surfaces: Range Segmentation.
• Reading:
• Yizhou Yu, Andras Ferencz, and Jitendra Malik,  Extracting Objects from Range and Radiance Images, IEEE Transactions on Visualization and Computer Graphics, Vol. 7, No. 4, 2001, pp.351-364.
• J. Shi and J. Malik, Normalized Cuts and Image Segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2000.  <Helpful references>
  
• J. Shi and J. Malik, Normalized Cuts and Image Segmentation, IEEE Conf. in Computer Vision and Pattern Recognition, Puerto Rico, 1997 [shorter version of the journal paper].
• Besl and Jain, Segmentation through Variable-Order Surface Fitting, IEEE Transactions on PAMI, 1988 (Vol. 10, number 2). <Not required - just for your reference>

Sep. 23

• 3D Modeling on the Voxel Level.
• Reading:
• Michael Reed and Peter Allen 3-D Modeling from Range Imagery: An Incremental Method with a Planning Component, Image and Vision Computing, V. 17, pp. 99-111, 1999.
• Brian Curless and Marc Levoy, A Volumetric Method for Building Complex Models from Range Images, Proc. SIGGRAPH '96.
• Brian Curless and Marc Levoy, Better optical triangulation through spacetime analysis, Proc. ICCV '95.

• 3D Modeling: a complete system. Using Range and Image Data.
  
• Reading:
• Ioannis Stamos and P. K.  Allen, Geometry and Texture Recovery of Scenes of Large Scale, Journal of Computer Vision and Image Understanding, Vol.88, No. 2, pp. 94–118, Nov. 2002.

• Two alternative modeling methods.
  
• Reading:
• S. M. Seitz and C. R. Dyer, Photorealistic Scene Reconstruction by Voxel Coloring ,Proc. Computer Vision and Pattern Recognition Conf., 1997, 1067-1073.
  
• Paul E. Debevec, Camillo J. Taylor, and Jitendra Malik. Modeling and Rendering Architecture from Photographs. In SIGGRAPH '96, August 1996.

 

• Light Fields I
  
• Reading:
• Steven J. Gortler, Radek Grzeszczu, Richard Szeliski, Michael F. Cohen, The Lumigraph, SIGGRAPH 1996.
• Marc Levoy and Pat Hanrahan LightField Rendering , SIGGRAPH, 1996.

• Light Fields II
• Reading:
• Matusik M., Pfister, H. etal. Image-Based 3D Photography Using Opacity Hulls, SIGGRAPH, 2002
• Chris Buehler etal. Unstructured Lumigraph, SIGGRAPH 2000.

• A real-time acquisition method and a reflectance recovery system.
  
• Reading:
• Szymon Rusinkiewicz, Olaf Hall-Holt and Marc Levoy, Real-Time 3D Model Acquisition, SIGGRAPH 2002.
• Y. Sato, M. D. Wheeler, and K. Ikeuchi, Object shape and reflectance modeling from observation, Proceedings of ACM SIGGRAPH 97, In Computer Graphics Proceedings, Annual Conference Series 1997, ACM SIGGRAPH, pp. 379-387, August 1997.

• Rendering from Range Point Sets.
  
• Reading:
  
• Layered Depth Images. 
• Multiple-Center-of-Projection Images.
  

• Recovering Lighting and Material Properties
• Reading:
• Inverse Global Illumination: Recovering Reflectance Models of Real Scenes from Photographs.

• Seth Teller and Matthew Antone Scalable Rotational Registration of Omni-Directional Image Networks, IJCV 2001. City Scanning Project.
• Seth Teller and Matthew Antone Scalable, Absolute Position Recovery for Omni-Directional Image Networks IJCV, 2001

• Project Presentations.
  

• Project Presentations.

THE END