Representing shapes is a signi cant problem for vision systems that must recognize or classify objects. We derive a representation for a given shape by investigating its self-simi...
We propose a new approach to recover epipolar geometry from a pair of uncalibrated images. By minimizing a proposed cost function, our approach matches the detected feature points...
We describe a exible model for representing images of objects of a certain class, known a priori, such as faces, and introduce a new algorithm for matching it to a novel image and...
This paper presents a method for alignment of images acquired by sensors of di erent modalities (e.g., EO and IR). The paper has two main contributions: (i) It identi es an approp...
This paper gives a widely applicable technique for solving many of the parameter estimation problems encountered in geometric computer vision. A commonly used approach is to minim...
Existing object tracking algorithms generally use some form of local optimisation, assuming that an object's position and shape change smoothly over time. In some situations ...
Diffuse interreflections cause effects that make current theories of shape from shading unsatisfactory. We show that distant radiating surfaces produce radiosity effects at low sp...
Recent research in image sensors has produced cameras with very large fields of view. A n area of computer vision research which will benefit from this technology is the computati...