Titlebook: Visualization and Processing of Tensor Fields; Joachim Weickert,Hans Hagen Book 2006 Springer-Verlag Berlin Heidelberg 2006 3D.differentia

袖章

責(zé)怪

to how inventory teams might be able to produce more accurate assessments of their total livestock populations. The methodology used during Nigeria’s National Livestock Census (1990–92) serves as a basis for a discussion of the issues.

heart-murmur

Adaptive Structure Tensors and their Applications to give an overview of the different approaches, whereas the focus lies on the methods based on robust statistics and nonlinear diffusion. Furthermore, the data-adaptive structure tensors are evaluated in some applications. Here the main focus lies on optic flow estimation, but also texture analysis and corner detection are considered.

filial

裂縫

Variational Regularization of Multiple Diffusion Tensor Fieldsvariational based DTI processing techniques, and show how such techniques can be adapted to the Multiple Tensor (MT) diffusion model via the Multiple Tensor Variational (MTV) framework. We show how the MTV framework can be used in separating differently oriented white matter fiber bundles.

Immobilize

Degenerate 3D Tensorslumes are not stable and either disappear or turn into lines when noise is introduced into the system. These topological feature lines provide a compact representation of the 3D tensor field and are useful in helping scientists and engineers understand their complex nature.

溫室

managed to reverse its HIV prevalence rate by 1992, it did not institute a national Orphans and Vulnerable Children (OVC) policy until 2004. Based on ethnographic fieldwork conducted in Uganda from 2007 to 2009, this chapter explores the unique experience of AIDS orphanhood.

Dorsal-Kyphosis

包庇

閹割

Locating Closed Hyperstreamlines in Second Order Tensor Fieldssible exits of a loop of crossed edges and detects structurally stable closed hyperstreamlines. These global features cannot be detected by conventional topology and feature detection algorithms used for the visualization of second order tensor fields.