Clustering method for estimating principal diffusion directions

Least – Squares Method For Estimating Diffusion Coefficient

 Abstract: Determination of the diffusion coefficient on the base of solution of a linear inverse problem of the parameter estimation using the Least-square method is presented in this research. For this propose a set of temperature measurements at a single sensor location inside the heat conducting body was considered. The corresponding direct problem was then solved by the application of the ...

LEAST – SQUARES METHOD FOR ESTIMATING DIFFUSION COEFFICIENT

Determining the diffusion coefficient based on the solution of the linear inverse problem of the parameter estimation by using the Least-square method is presented. A set of temperature measurements at a single sensor location inside the heat conducting body is required. The corresponding direct problem will be solved by an application of the heat fundamental solution.

Visualization of Principal Curvature Directions by Anisotropic Diffusion

Anisotropic diffusion is known to be a powerful tool in image processing. It enables the smoothing of initially noisy images while still retaining, respectively sharpening edges and enhancing features. Here recent results in the context of vector field visualization are expanded to non Euclidean domains. The aim is to graphically represent vector field data on two dimensional surfaces in an int...

A Cubic Facet Based Method for Estimating the Principal Quadric

A principal quadric estimator is described which is based on independently fitting cubic facets to the 3 components of position in a small neighbourhood of each data point. From the parameters of the fitted facets, the first and second order differential properties of the surface at the data point, and hence the principal quadric parameters, can be estimated. This method is compared with severa...

Methods for Estimating Principal Points