We describe the g-factor which relates probability distributions on image features to distributions on the images themselves. The g-factor depends only on our choice of features a...
This paper investigates the use of Euclidean invariant features in a generalization of iterative closest point registration of range images. Pointwisecorrespondences are chosen as...
We present a novel framework for tree-structure embedded density estimation and its fast approximation for mode seeking. The proposed method could find diverse applications in co...
In this paper, we present a new multimodal image registration method based on the a priori knowledge of the class label mappings between two segmented input images. A joint class ...
Ho-Ming Chan, Albert C. S. Chung, Simon C. H. Yu, ...
We develope a technique to perform e cient and accurate matching to detect the occurences of a template in a scene. The template may describe an object or a textured surface. Repr...