A System for More Intuitive Multivariate Volume Exploration and Visualization
نویسندگان
چکیده
We propose a novel linked-view multivariate volume exploration and visualization system that facilitates feature exploration and extraction for highly complex datasets. Through three interaction stages, namely: data probing, qualitative analysis and feature refinement, the user is able to locate and extract features from complex multivariate datasets. Unlike previous linked-view systems, our proposed system offers a more intuitive and less laborious interaction for domain users. The system has been successfully utilized by geologists to extract features in complicated multivariate 3D seismic survey data.
منابع مشابه
Palette-Style Volume Visualization
In this paper we propose a palette-style volume visualization interface which aims at providing users with an intuitive volume exploration tool. Our system is inspired by the widely used wheel-style color palette. The system initially creates a set of direct volume rendered images (DVRIs) manually or automatically, and arranges them over a circle in 2D image space. Based on the initial set of D...
متن کاملUsing Penalized Regression with Parallel Coordinates for Visualization of Significance in High Dimensional Data
In recent years, there has been an exponential increase in the amount of data being produced and disseminated by diverse applications, intensifying the need for the development of effective methods for the interactive visual and analytical exploration of large, high-dimensional datasets. In this paper, we describe the development of a novel tool for multivariate data visualization and explorati...
متن کاملEasyXplorer: A Flexible Visual Exploration Approach for Multivariate Spatial Data
Exploring multivariate spatial data attracts much attention in the visualization community. The main challenge lies in that automatic analysis techniques is insufficient in discovering complicated patterns with the perspective of human beings, while visualization techniques are incapable of accurately identifying the features of interest. This paper addresses this contradiction by enhancing aut...
متن کاملGPU-Based High-Quality Volume Rendering For Virtual Environments
In medicine the knowledge of relative placement and size of anatomical structures is indispensable, especially in surgery and treatment planning. Therefore, the visualization of medical data sets acquired by Computer Tomography (CT) and Magnetic Resonance Imaging (MRI) has become more and more important because it offers a three dimensional view on the underlying data even of inner structures. ...
متن کاملVolume Exploration Made Easy Using Feature Maps
We present a framework that enables an intuitive, feature-centric exploration of segmented volumetric datasets. Our system is geared towards users familiar with the basic elements of volume rendering, but who seek to conduct volume exploration in a guided fashion. It provides the infrastructure to organize features and objects extracted from a volume dataset, via segmentation or otherwise, and ...
متن کامل