We revisit the problem of model-based object recognition for intensity images and attempt to address some of the shortcomings of existing Bayesian methods, such as unsuitable prior...
In this paper we present a complete method to retrieve reliable correspondences among wide baseline images, that is images of the same scene/object acquired from very different vi...
Francesco Colletto, Marco Marcon, Augusto Sarti, S...
We present a new method to perform reliable matching between different images. This method finds complete region correspondences between concentric circles and the corresponding p...
—This paper presents a new affine-invariant matching algorithm based on B-Spline modeling, which solves the problem of the nonuniqueness of B-Spline in curve matching. This metho...
We propose new robust classification algorithms for planar and spatial curves subjected to affine transformations. Our motivation comes from the problems in computer image recognit...