Snakes & Adaptive Contours: This poster looks at a highly effective adaptive contour, using curve-based importance sampling, and using the Viterbi method from dynamic programming.
			Posterior Sampling: The sampling of random fields, particularly useful for irregular images found in scientific imaging. Here an application to porous media.
			Wavelets & Statistics: Wavelets are widely used in signal and image processing, however relatively little is known about the statistical relationships which are obeyed.
			Colour Image Segmentation: New work in using Markov Random Fields for the segmentation of colour images. In particular, images with saturation or specular highlights, which confuse standard approaches to segmentation.
			SAR Interferometry Phase Unwrapping: Recent collaborative effort in approaching the problem of SAR interferometry using a statistical and hierarchical approach. In collaboration with the University of Montevideo, Uruguay.
			Hierarchical Estimation: A new approach to statistical hierarchical estimation, seeking to construct an overlapping tree. In collaboration with Bill Irving, MIT.
			Remote Sensing: Estimating random fields and mapping problems for remote sensing. In collaboration with Dimitris Menemenlis, MIT (now at JPL).
			Data Fusion: A first look at satellite data fusion, in this case fusing the infrared information of the ocean surface collected by two different satellites. In collaboration with Oxford University / Rutherford Labs, United Kingdom.
			Hierarchical Estimation: Recent research work of my own, proposing a new class of hierarhical statistical trees, in which a tree is modified to have several roots, each of which is reponsible only for the subset of the given domain.
			Dynamic Estimation: A modification of the hierarhical estimation method to allow dynamic estimation, here applied to oceanography. In collaboration with Terrence Ho, MIT.
			Image Databases: A research problem to identify / recognize a given diamond from a database of millions of catalogued diamonds, for the purpose of preventing theft. In collaboration with GemPrint, Toronto.

		2008	N. Kachouie, P. Fieguth, ``Extended-Hungarian-JPDA: Exact Single-Frame Stem Cell Tracking,'' Accepted for publication in IEEE Trans. on Biomedical Engineering
		2008	P. Fieguth, ``Hierarchical Posterior Sampling for Gauss-Markov Random Fields,'' Accepted for publication in IEEE Trans. Image Processing
		2008	N.\ Kachouie, P.\ Fieguth, J.\ Ramunas, E.\ Jervis, ``Probabilistic Model-Based Cell Tracking'', Accepted for publication in {\em International Journal of Biomedical Imaging}
		2007	S. Sinha, P. Fieguth, ``Morphological Segmentation and Classification of Underground Pipe Images,'' Accepted for publication in Machine Vision and Applications
		2006	F. Jin, P. Fieguth, L. Winger, ``Wavelet Video Denoising with Regularized Multiresolution Motion Estimation,'' EURASIP Journal on Applied Signal Processing (2006), Article 72705, 2006
		2005	S. Sinha, P. Fieguth, ``Segmentation of Buried Concrete Pipe Images'', Accepted for publication in Automation in Construction
		2005	S. Sinha, P. Fieguth, ``Automated Detection of Crack Defects in Buried Concrete Pipe Images'', Accepted for publication in Automation in Construction
		2005	S. Sinha, P. Fieguth, ``Neuro-Fuzzy Network for the Classification of Buried Pipe Defects'', Accepted for publication in Automation in Construction
		2005	F. Khellah, P. Fieguth, J. Murray, M. Allen, STATISTICAL PROCESSING OF LARGE IMAGE SEQUENCES, IEEE Image Processing (14) #1, pp.80--93, 2005
			H. Venema, P. Calamai, P. Fieguth, Forest structure optimization using evolutionary programming and landscape ecology metrics, European J. of Operations Research
		2003	P. Fieguth, D. Menemenlis, I. Fukumori, Mapping and Pseudo-Inverse Algorithms for Ocean Data Assimilation, IEEE Trans. Geoscience and Remote Sensing (41) #1, pp.43--51, 2003
		2003	S. Sinha, P. Fieguth, M.A. Polak, Computer Vision Techniques for Automatic Structural Assessment of Underground Pipes, Computer Aided Civil & Infrastructure Engineering (18) #2, 2003
		2002	G. Carballo, P. Fieguth, Multiresolution Network Flow Phase Unwrapping, IEEE Trans. Geoscience and Remote Sensing
		2002	Automated Measurement of Bulbar Redness, Investigative Ophthalmology and Visual Science
		2001	P. Fieguth, Multiply-Rooted Multiscale Models for Large-Scale Estimation, IEEE Image Processing (10) #11, pp.1676--1686, 2001
		1995	Multiresolution Optimal Interpolation and Statistical Analysis of Topex/Poseidon Satellite Altimetry, IEEE Trans. Geoscience and Remote Sensing

		2008	PhD Thesis: N. Kachouie, Bayesian Model Based Tracking with Application to Cell Segmentation and Tracking
		2007	MASc Thesis: K. McBride, Vehicle Tracking in Occlusion and Clutter
		2007	PhD Thesis: S. Wesolkowski, Stochastic Nested Aggregation for Images and Random Fields
		2005	PhD Thesis: S. Alexander, Multiscale Methods in Image Modelling and Image Processing
		2005	PhD Thesis: Z. Azimifar, Image Models for Wavelet Domain Statistics
		2004	PhD Thesis: F. Jin, Wavelet-based Image and Video Processing
		2004	PhD Thesis: L. Lee, Hidden Dynamic Models for Speech Processing Applications
		2001	PhD Thesis: K.M. Khellah, Large-Scale 2D Dynamic Estimation (note - some figures appear incorrectly in PDF file)
		2000	PhD Thesis: S. Sinha, Automated Underground Pipe Inspection Using a Unified Image Processing and Artificial Intelligence Methodology
		2000	PhD Thesis: G. Carballo, Statistically-Based Multiresolution Network Flow Phase Unwrapping for SAR Interferometry
		1995	PhD Thesis: P. W. Fieguth, Application of Multiscale Estimation to Large Multidimensional Imaging and Remote Sensing Problems

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(Page last updated May 12, 2008, )