Stereo


Topics: Epipolar geometry, Correlation and feature matching, Discontinuity detection, Fitting smooth surfaces to stereo data,
Scan-line dynamic programming approach, Belief propagation.

 

  • Pascal Fua, "A parallel stereo algorithm that produces dense depth maps and preserves image features," Machine Vision
  • and Applications, 6 (1993), 35--49. [PDF]

  • D. Scharstein and R. Szeliski. "A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms,"

  • International Journal of Computer Vision, 47 (2002), pp. 7-42. [Web site with data and source code] [PDF]

  • Stan Birchfield and Carlo Tomasi, "Depth Discontinuities by Pixel-to-Pixel Stereo," Proceedings of the International

  • Conference on Computer Vision, Mumbai, India (1998), pp. 1073-1080. [Web site with data and source code] [PDF]

  • Pedro Felzenszwalb and Daniel Huttenlocher, "Efficient Belief Propagation for Early Vision," Conference on Computer

  • Vision and Pattern Recognition (CVPR), 2004. [PDF]

  • Richard Szeliski et al., "A comparative study of energy minimization methods for Markov random fields," European

  • Conference on Computer Vision (ECCV), 2006. [Web site with data and source code] [PDF]

 

 

Invariant local features

 

Rotation, scale, affine, and illumination invariance. Image region descriptors. Fast nearest-neighbor matching algorithms.

Classification of feature vectors. The Hough transform.

  • David G. Lowe, "Distinctive image features from scale-invariant keypoints" International Journal of Computer Vision,

  • 60, 2 (2004), pp. 91-110. [PDF]

  • Krystian Mikolajczyk and Cordelia Schmid, "Scale and affine invariant interest point detectors," International Journal

  • of Computer Vision, 60, 1 (2004), 63-86. [PDF]

 

 

Image matching and 3D reconstruction

 

Robust least-squares solution for image transformations. Solving for 3D structure and camera pose. Dense surface reconstruction.

  • Noah Snavely, Steven M. Seitz, Richard Szeliski, "Photo tourism: Exploring photo collections in 3D," ACM Transactions

  • on Graphics (SIGGRAPH), 25(3), 2006, 835-846. [PDF] [Photosynth web site]

  • Christoph Strecha, Rik Fransens Luc Van Gool "Combined Depth and Outlier Estimation in Multi-View Stereo," CVPR (2006). [PDF]

 

 

Learning to recognize object categories

 

AdaBoost alogorithm.

  • Paul Viola and Michael Jones, "Rapid object detection using a boosted cascade of simple features," Conference on

  • Computer Vision and Pattern Recognition, 2001, pp. 511-518. [PDF]
    For background on AdaBoost, read Freund and Schapire, "A short introduction to boosting," JJSAI, 1999. [PDF]

 

 

Motion interpretation

 

Measuring optical flow. Structure from motion. Kalman filter and estimation theory. Color histograms.

Tracking with particle filters. Action recognition.

  • Andrew J. Davison, Ian Reid, Nicholas Molton and Olivier Stasse, "MonoSLAM: Real-Time Single Camera SLAM," IEEE PAMI,
  • (June 2007). [Davison's web site] [PDF]

  • P. Perez, C. Hue, J. Vermaak and M. Gangnet, "Color-based probabilistic tracking," European Conference on Computer

  • Vision, ECCV 2002, Copenhagen, Denmark (June 2002). [PDF]

  • Alexei A. Efros, Alexander C. Berg, Greg Mori and Jitendra Malik, "Recognizing Action at a Distance," International

  • Conference on Computer Vision, Nice, France (2003). [PDF]

 

 

Localization, mapping and positioning, SLAM.

 

R. Smith, M. Self, and P. Cheeseman. Estimating uncertain spatial relationships in robotics. In I.J. Cox and G.T. Wilfong, editors,
Autonomous Robot Vehicles, pages 167--193. SpringerVerlag, 1990.

 

F. Lu and E. Milios, Robot Pose Estimation in Unknown Environments by Matching 2D Range Scans, Journal of Intelligent and Robotic Systems.
vol. 18, pp. 249-275, 1997 http://www-robotics.usc.edu/~gaurav/CS547/milios_localize.pdf

 

S. Thrun, D. Fox, W. Burgard, and F. Dellaert Robust monte carlo localization for mobile robots . Artificial Intelligence, 101:99-141,
2000. http://www.cs.cmu.edu/~thrun/papers/thrun.robust-mcl.pdf

 

Leonard, J., and P. Newman. "Consistent, Convergent, and Constant- Time SLAM." In 18th International Joint Conference on

Artificial Intelligence. Acapulco, Mexico, August 2003. (PDF)

 

Eliazar, Austin, and Ronald Parr. "DP-SLAM: Fast, Robust Simultaneous Localization and Mapping Without Predetermined Landmarks." In 18th

International Joint Conference on Artificial Intelligence. Acapulco,Mexico, August 2003. http://www.cs.duke.edu/~eliazar/papers/DP-SLAM.pdf

 

Learning generative models of scene features, R. Sim and G. Dudek, International Journal of Computer Vision vol 60, no 1, pp 45-61,
Kluwer, 2004http://www.cs.ubc.ca/~simra/publications/sim_ijcv04.pdf

 

 

GIS, Remote Sensing, and Photogrammetry

 

Topics: GIScience, meaning of information.


Goodchild, M. F., 1992, Geographical information science. International Journal of Geographical Information Systems, 6(1), 31-45.

 

Sui, D. Z. and Goodchild, M.F., 2001, Are GIS becoming new media? International Journal of Geographical Information Science, 15(5), 387-390.

 

Poore, B. and Chrisman, N. R., 2006, Order from noise: Towards a social theory of geographic information. Annals of the Association of American

Geographers, 96(3), 508-523.

 

Topics: Transformations: coordinate transformation, image draping, raster-vector

Tobler, W., 1979, A transformational view of cartography. The American Cartographer, 6, 101-106.

 

White, M. and Griffin, P., 1985, Piecewise linear rubber sheet map transformation. The American Cartographer, 12, 123-131.

 

Chrisman, N. R., 1999, A transformational approach to GIS operations. International Journal of Geographical Information Science, 13(7), 617-637.


Ackermann, F. E., 1962-1964b. A method of analytical block adjustment for heights. Photogrammetria, 19(8): 457-462.


Toutin, T. 2004. Review article: Geometric processing of remote sensing images: models, algorithms and methods. INT. J. REMOTE SENSING,
25(10) 1893-1924.

 

Topics: Spatial data structures: quadtrees, spatial access, conversions

 

Gaede, V. and Guenther, O. 1998. Multidimensional access methods. ACM Comput.  Surv. 30, 2 (Jun. 1998)

Samet, H., 1990, The Design and Analysis of Spatial Data Structures (Reading MA: Addison Wesley).

 

Burrough, P. A. and Frank, A. U., 1995, Concepts and paradigms in spatial information: Are current geographic information
systems truly generic? International Journal of Geographical Information Systems, 9, 101-116.

 

Topics: Scale

Quattrochi, D., Goodchild, M., 1997. Scale in Remote Sensing and GIS. Lewis Publishers, Boca Raton, FL.


Marceau, DJ, and Hay G.J. 1999. Remote sensing contributions to the scale issue. Canadian journal of remote sensing 25 (4) 357-366.

http://www.geog.umontreal.ca/gc/PDFs/RSpaper2.pdf