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This paper describes recent speechreading experiments for a speaker independent continuous digit recognition task. Visual feature extraction is performed by a lip tracker which recovers information about the lip shape and information about the grey-level i ...
In this thesis, four topics related to image analysis are investigated: filtering, color segmentation, contour detection, and symmetry quantification for shape, color, and texture information. The three first topics are essential to detect efficiently the ...
An approach for person identification is described based on spatio-temporal analysis of the talking face. A person is represented by a parametric model of the visible speech articulators and their temporal characteristics during speech production. The mode ...
Visual information is taking a predominant place in our society. With the advent of digital technologies, visual information will find new applications in domains ranging from communication, commerce to entertainment. New functionalities will be required t ...
A murine monoclonal antibody (I-17, IgM) has the following functional effects on murine long-term T cell clones: inhibition of cell-mediated lysis, induction of proliferation, release of lymphokines and change of the cell morphology. The determinant detect ...
The paper studies wavelet transform extrema and zero-crossings representations within the framework of convex representations in L(Z). Wavelet zero-crossings representation of two-dimensional signals is introduced as a convex multiscale edge representation ...
Using a low-level representation of images, like matching pursuit, we introduce a new way of describing objects through a general description using a translation, rotation, and isotropic scale invariant dictionary of basis functions. We then use this descr ...
We present a new method for estimating heart motion from two-dimensional (2D) echocardiographic sequences. It is inspired by the Lucas-Kanade algorithm for optical flow which estimates motion parameters over a sliding window. However, instead of assuming t ...
We present a new statistical model for characterizing texture images based on wavelet-domain hidden Markov models. With a small number of parameters, the new model captures both the subband marginal distributions and the dependencies across scales and orie ...
This paper describes a technique for identifying the boundary of the optic disk in digital images of the retina, using an approach based on active contours (snakes). The optic disk is the region on the retina at which optic nerve axons enter and leave the ...
