This paper introduces a clever way of computing inner products between images in order to drastically reduce the computational complexity of fitting appearance models to images. T...
The classification performance of nearest prototype classifiers largely relies on the prototype learning algorithms, such as the learning vector quantization (LVQ) and the minimum...
A non-parametric (NP) sampling method is introduced for obtaining the joint distribution of a pair of images. This method is called NP windowing and is equivalent to sampling the ...
In this paper, we present a novel method for model estimation for visual servoing. This method employs a particle filter algorithm to estimate the depth of the image features onli...
Various anatomical objects are tubular in shape. These structures can be modeled by describing their curvilinear path and the cross-sectional shape along the path. However, most r...