K-Nearest Neighbors relies on the definition of a global metric. In contrast, Discriminant Adaptive Nearest Neighbor (DANN) computes a different metric at each query point based o...
This paper proposes a new technique for computing the distance to an unknown planar surface and, at the same time, estimating the material of the surface through the use of low-co...
In this paper we present a recursive algorithm for the cleaning and the enhancing of historical documents. Most of the algorithms, used to clean and enhance documents or transform ...
A novel technique for disparity estimation based on block matching with a local adaptive window is introduced in this paper. In the proposed approach the size and shape of the ref...
We present a new technique for extracting local features from images of architectural scenes, based on detecting and representing local symmetries. These new features are motivate...