3D Form and Motion: Difference between revisions
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* Seitz google talk on history of 3D computer vision: [https://www.youtube.com/watch?v=kyIzMr917Rc URL] | * Seitz google talk on history of 3D computer vision: [https://www.youtube.com/watch?v=kyIzMr917Rc URL] | ||
** Blanz and Vetter, 3D face models [http://redwood.berkeley.edu/bruno/3DFM/Blanz-siggraph-99.pdf pdf] | ** Blanz and Vetter, 3D face models [http://redwood.berkeley.edu/bruno/3DFM/Blanz-siggraph-99.pdf pdf] | ||
** Tomasi and Kanade, factorization of shape and motion, | ** Tomasi and Kanade, factorization of shape and motion, [http://redwood.berkeley.edu/bruno/3DFM/TomasiKanade92.pdf | ||
pdf] | pdf] | ||
Revision as of 00:37, 25 March 2013
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, [http://redwood.berkeley.edu/bruno/3DFM/TomasiKanade92.pdf
pdf]
SLAM:
- 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
Psychophysics:
- 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
Action-perception:
- Philipona et al. Neural Computation (2003) pdf
- Follow on papers URL
- Philipona et al. NIPS (2003) pdf
- Follow on papers URL
- Robotics paper trying to perceive environment based on sensiromotor loop (from Pulkit): pdf
Manifolds: