The mean shift algorithm, which is a nonparametric density
estimator for detecting the modes of a distribution on a
Euclidean space, was recently extended to operate on analytic
...
We describe an unsupervised method to segment objects detected in images using a novel variant of an interest point template, which is very efficient to train and evaluate. Once a...
Himanshu Arora, Nicolas Loeff, David A. Forsyth, N...
The limitations of estimating structure from either stereo or motion alone can be addressed by the use of stereo image sequences; however, many existing techniques for processing ...
This paper presents a study aimed to the realization of a novel
multiresolution registration framework. The transformation
function is computed iteratively as a composition of lo...
We address the problem of performance and power-efficient thread allocation in a CMP. To that end, based on analytical model, we introduce a parameterized performance/power metric ...