The inverse gradient problem, finding a scalar field f with a gradient near a given vector field g on some bounded and connected domain Rn , can be solved by means of a Poisson ...
A new class of parallel normalized preconditioned conjugate gradient type methods in conjunction with normalized approximate inverses algorithms, based on normalized approximate f...
In this paper we propose a framework for gradient descent
image alignment in the Fourier domain. Specifically,
we propose an extension to the classical Lucas & Kanade
(LK) a...
In this paper, we propose efficient numerical techniques for Butterworth filtering and implicit fairing of large irregular triangle meshes, where the corresponding filters are ...
This paper presents a distributed object model MOIDE for solving irregularly structured problems on cluster. The primary appeal of MOIDE is its flexible system structure that is a...