3D Form and Motion

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Mondays at 1:00, Evans 560

3D models from images:

  • Hartley and Zisserman: Multiple View Geometry (Amazon)
  • Hoiem and Savarese: 3D object recognition and scene interpretation, book pdf
  • Hoiem Ph.D. thesis "SEEING THE WORLD BEHIND THE IMAGE" pdf
  • Cashman and Fitzgibbon: "What Shape are Dolphins? Building 3D Morphable Models from 2D Images" pdf
  • Snavely and Seitz (2006), "Photo tourism" (aka photosynth), pdf
  • Seitz google talk on history of 3D computer vision: URL
    • Blanz and Vetter, 3D face models pdf
    • Tomasi and Kanade, factorization of shape and motion, pdf
  • Blanz & Vetter (2003) "Face Recognition Based on Fitting a 3D Morphable Model" pdf
  • Atick & Redlich papers:
    • "The vocabulary of shape: principal shapes for probing perception and neural response" abstract
    • "Statistical Approach to Shape from Shading: Reconstruction of Three-Dimensional Face Surfaces from Single Two-Dimensional Images" pdf
  • Bregler, Hertzmann, "Recovering non-rigid 3D shape from image streams" pdf
  • Allen, Curless, Popovic, "The space of human body shapes: reconstruction and parameterization from range scans" pdf
  • Suggested by Pulkit:
    • D Ramanan, "Analyzing 3D Objects in Cluttered Images" pdf
    • B Schiele, first couple of papers at url
  • Jon Barron's papers url

3D data sets

  • Princeton Shape data set: url
  • Ponce: url
  • Silberman url


  • wiki page with list of refs
  • Thrun, "Probabilistic algorithms in robotics" pdf
  • Daniel Cremers work on helicopters/SLAM (TU Munich) URL
  • Newcombe and Davison, "Live dense reconstruction with a single moving camera work on fast single camera", pdf


  • Nakayama et al. (1995) "Visual Surface Representation" pdf
  • Glennerster and Fitzgibbon, "View-Based Approaches to Spatial Representation in Human Vision" pdf
  • Wexler work on depth from self-motion/parallax, reference frames, pdf1, pdf2


  • Philipona et al. Neural Computation (2003) pdf
    • Follow on papers URL
  • Philipona et al. NIPS (2003) pdf
    • Follow on papers URL
  • Polani et al. "From unknown sensors and actuators to actions" pdf
  • Robotics paper trying to perceive environment based on sensiromotor loop (from Pulkit): pdf


  • Manifolds in computer vision tutorial: pdf
    • references: URL