This thesis addresses the issue of image matching for stereoscopic vision applications and image stabilization of video cameras. Methods of mapping are generally based on the use of interest points in the images, i.e. of points which have strong discontinuities in light intensity. We fi rst present a new descriptor of points of interest, obtained by means of an anisotropic rotary flter which delivers at each point of interest a one-dimensional signature based on an intensity gradient. Invariant to rotation by construction, this descriptor has very good properties of robustness and discrimination. We then propose a new matching method invariant to Euclidean and affine transformations. This method exploits the correlation of signatures subject to moderate warping, and defi nes a distance measure, necessary for the matching of points. The results obtained on difficult images augur promising extensions to this method.
