Design of multi-parameter steerable functions using cascade basis reduction.
Patrick C. Teo and Yacov Hel-Or.
IEEE Transactions on Pattern Recognition and Machine Intelligence,
vol. 21, no. 6, pp. 552-556, June 1999.
Anisotropic Smoothing of Posterior Probabilities.
Patrick C. Teo and Guillermo Sapiro and Brian A. Wandell.
Dynamical Systems, Control, Coding, Computer Vision : New Trends, Interfaces, and Interplay,
Giorgio Picci and David S. Gilliam, Editors, Progress in Systems and Control Theory, vol. 25, 1999.
Canonical decomposition of steerable functions.
Yacov Hel-Or and Patrick C. Teo.
Journal of Mathematical Imaging and Vision,
vol. 9, no. 1, pp. 83-95, July 1998.
A computational group-theoretic approach to steerable functions.
Patrick C. Teo and Yacov Hel-Or.
Pattern Recognition Letters,
vol. 19, no. 1, pp. 7-17, Jan. 1998.
Creating connected representations of cortical gray matter for functional MRI visualization.
Patrick C. Teo and Guillermo Sapiro and Brian A. Wandell.
IEEE Transactions on Medical Imaging,
vol. 16, no. 6, pp. 852-863, Dec. 1997.
On the Design of Filters for Gradient-Based Motion Estimation.
Michael Elad, Yacov Hel-Or and Patrick C. Teo.
Journal of Mathematical Imaging and Vision,
vol. 23, no. 3, pp. 345-365, Nov. 2005.
Optimal filters for gradient-based motion estimation.
Michael Elad and Yacov Hel-Or and Patrick C. Teo.
21st IEEE Convention of the Electrical and Electronic Engineers in Israel,
pp 195-197, April 2000, Tel-Avivi, Israel.
Optimal filters for gradient-based motion estimation.
Michael Elad and Patrick C. Teo and Yacov Hel-Or.
International Conference on Computer Vision,
vol. 1, pp. 559-565, Sept. 1999, Kerkyra, Greece.
Design of multi-parameter steerable functions using cascade basis reduction.
Patrick C. Teo and Yacov Hel-Or.
International Conference on Computer Vision,
pp. 187-192, Jan 1998, Bombay, India.
Segmenting cortical gray matter for functional MRI visualization.
Patrick C. Teo and Guillermo Sapiro and Brian A. Wandell.
International Conference on Computer Vision,
pp. 292-297, Jan. 1998, Bombay, India.
Anisotropic smoothing of posterior probabilities.
Patrick C. Teo and Guillermo Sapiro.
Fourth IEEE International Conference on Image Processing,
vol. 1, pp. 675-678, Oct. 1997, Santa Barbara, California, USA.
A computational approach to steerable functions.
Patrick C. Teo and Yacov Hel-Or.
IEEE Conference on Computer Vision and Pattern Recognition,
pp. 313-318, June 1997, San Juan, Puerto Rico.
Lie group approach for local steerability.
Patrick C. Teo and Yacov Hel-Or.
13th Israeli Symposium on Artificial Intelligence, Computer Vision and Neural Networks,
Feb. 1997.
Canonical decomposition of steerable functions.
Yacov Hel-Or and Patrick C. Teo.
IEEE Conference on Computer Vision and Pattern Recognition,
pp 809-816, June 1996, San Francisco, CA, USA.
Fast resampling using vector quantization.
Patrick C. Teo and Chase D. Garfinkle.
Third International Computer Science Conference: Image Analysis Applications and Computer Graphics,
pp. 66-73, Dec. 1995, Hong Kong.
A general, mechanistic model of spatial pattern detection.
Patrick C. Teo and David J. Heeger.
Association for Research in Vision and Ophthalmology,
vol 36, no. 2012, May 1995, Ft. Lauderdale, Florida, USA.
Perceptual image distortion.
Patrick C. Teo and David J. Heeger.
First IEEE International Conference on Image Processing,
vol. 2, pp. 982-986, Nov. 1994, Austin, Texas, USA.
Perceptual image distortion.
Patrick C. Teo and David J. Heeger.
Models and CAD Tools for Efficient Display Design, International Symposium, Seminar & Exhibition, Society for Information Display,
pp 209-212, June 1994, San Jose, California, USA.
Perceptual image distortion.
Patrick C. Teo and David J. Heeger.
Human Vision, Visual Processing, and Digital Display V, IS&T/SPIE,
vol. 2179, pp. 127-141, Feb. 1994, San Jose, California, USA.
A common framework for steerability, motion estimation, and invariant feature detection.
Yacov Hel-Or and Patrick C. Teo.
IEEE International Symposium on Circuits and Systems,
vol. 5, pp. 337-340, June 1998, Monterey, California, USA.
Invited paper at the special session on steerable filters.
A model of perceptual image fidelity.
David J. Heeger and Patrick C. Teo.
Second IEEE International Conference on Image Processing,
vol. 2, pp. 343-345, Oct. 1995, Washington, DC, USA.
Invited paper at the special session on color and printing.
Theory and applications of steerable functions.
Patrick C. Teo.
Department of Computer Science Technical Report, Stanford University,
Report No. CS-TR-98-1604, Mar. 1998.
Ph.D. Dissertation.
Efficient linear rendering for interactive lighting design.
Patrick C. Teo and Eero P. Simoncelli and David J. Heeger.
Department of Computer Science Technical Report, Stanford University,
Report No. CS-TN-97-60, Oct. 1997.
Optimal Filters For Gradient-Based Motion Estimation.
Michael Elad and Patrick C. Teo and Yacov Hel-Or.
Hewlett Packard Technical Report, Hewlett Packard Laboratories,
HPL-97-111R1, Sept. 1997.
Anatomically Consistent Segmentation of the Human Cortex for Functional MRI Visualization.
Guillermo Sapiro and Patrick C. Teo and Brian A. Wandell.
Hewlett Packard Technical Report, Hewlett Packard Laboratories,
HPL-97-03, Jan. 1997.
A Computational Group-Theoretic Approach to Steerable Functions.
Patrick C. Teo and Yacov Hel-Or.
Department of Computer Science Technical Report, Stanford University,
Report No. CS-TN-96-33, Apr. 1996.
Design of Multi-Parameter Steerable Functions Using Cascade Basis Reduction.
Patrick C. Teo and Yacov Hel-Or.
Department of Computer Science Technical Report, Stanford University,
Report No. CS-TN-96-32, Mar. 1996.
A Common Framework for Steerability, Motion Estimation and Invariant Feature Detection.
Yacov Hel-Or and Patrick C. Teo.
Department of Computer Science Technical Report, Stanford University,
Report No. CS-TN-96-28, Jan. 1996.