Publications
Image Processing
F. J. Estrada, D. J. Fleet, and A. D. Jepson, “ Stochastic Image Denoising”, British Machine Vision Conference, London, Sep. 2009.
* Updated Denoising Benchmark (march 2010)
* Stochastic Denoising Software
C. Fredembach, F. Estrada, and S. Süsstrunk, “Memory Colour Segmentation and Classification Using Class-specific Eigenregions”, accepted to the Journal of the Society for Information Display, 2009
R. Achanta, S. Hemami, F. Estrada, and S. Süsstrunk, “Frequency-tuned Salient Region Detection”, IEEE International Conference on Computer Vision and Pattern Recognition, Miami, U.S.A., 2009
C. Fredembach, F. Estrada, and S. Süsstrunk, “Segmenting Memory Colours”, Color Imaging Conference, pp. 315-320, 2008
R. Achanta, F. Estrada, P. Wils, and S. Süsstrunk, “Salient Region Detection and Segmentation”, International Conference on Computer Vision Systems, pp. 66-75, 2008
Perceptual Grouping
F. J. Estrada, P. Fua, V. Lepetit, and , S. Süsstrunk, “Appearance Based Keypoint Clustering”, IEEE International Conference on Computer Vision and Pattern Recognition, Miami, U.S.A., 2009.
* Demo movie: .MOV (20Mb)
F. J. Estrada, and A. D. Jepson, “Robust Boundary Detection With Adaptive Grouping”, 5th IEEE Workshop on Perceptual Organization in Computer Vision, NY, USA, 2006.
* Adaptive grouping software distribution
F. J. Estrada, and J. H. Elder, “Multiscale Contour Extraction Based on Natural Scene Statistics”, 5th IEEE Workshop on Perceptual Organization in Computer Vision, NY, USA, 2006. -
* Demo movie: .AVI (5Mb), .MPG (30Mb)
F. J. Estrada, and A. D. Jepson, “ Perceptual Grouping for Contour Extraction”, International Conference on Pattern Recognition, Cambridge, U. K., 2004.
* Additional experimental results can be found here
F. J. Estrada, and A. D. Jepson, “Controlling the Search for Convex Groups”, Technical Report CSRG-482, Department of Computer Science, University of Toronto, Jan. 2004.
* Experimental results can be found here
Image Segmentation
F. J. Estrada, and A. D. Jepson, “Benchmarking Image Segmentation Algorithms”, International Journal of Computer Vision, Vol. 85, No. 2, p. 167, 2009.
F. J. Estrada, and A. D. Jepson, “Quantitative Evaluation of a Novel Image Segmentation Algorithm”, IEEE International Conference on Computer Vision and Pattern Recognition, San Diego, U. S. A., 2005.
F. J. Estrada, A. D. Jepson, and C. Chennubhotla “Spectral Embedding and Min-Cut for Image Segmentation”, British Machine Vision Conference, London, U. K., 2004.
Single View Reconstruction
P. Denis, J. Elder, and F. Estrada, “Efficient Edge-Based Methods for Estimating Manhattan Frames in Urban Imagery”, European Conference on Computer Vision, part II, pp. 197-210, 2008
F. J. Estrada, “Estimation of Surface Orientation from a Single Image”, M.Sc. Thesis, Department of Computer Science, University of Toronto, 2001
Ph.D. Thesis
F. J. Estrada, “Advances in Computational Image Segmentation and Perceptual Grouping”, Department of Computer Science, University of Toronto, Jun. 2005.
by chapter:
Chapter 1: Introduction
Chapter 2: Review of Image Segmentation Research
Chapter 3: Spectral Embedding
Chapter 4: The SE-MinCut Segmentation Algorithm
Chapter 5: Segmentation Results and Quantitative Evaluation
Chapter 6: Review of Perceptual Grouping Research
Chapter 7: Efficient Detection of Convex Groups
Chapter 8: A General Framework for Contour Extraction
Chapter 9: Conclusion and References