Smooth Brushing for Focus+Context Visualization of Simulation Data in 3D
نویسندگان
چکیده
We present the usage of a non-discrete degree of interest (DOI) function, obtained by brushing multi-valued 3D simulation data in information visualization views, to define opacity, color, and geometrical transfer functions for 3D rendering in a scientific visualization view via linking. To reflect the smooth nature of features in flow simulation data, smooth brushing was chosen. Different available views and interaction methods of a prototype system are discussed, and examples from 3D flow simulation are shown.
منابع مشابه
Angular Brushing of Extended Parallel Coordinates
In this paper we present angular brushing for parallel coordinates (PC) as a new approach to highlighting rational data-properties, i.e., features which – in a non-separable way – depend on two data dimensions. We also demonstrate smooth brushing as an intuitive tool for specifying nonbinary degree-of-interest functions (for focus+context visualization). We also briefly describe our implementat...
متن کاملGaze-based Focus Adaption in an Information Visualization System
As the complexity and amount of real world data continuously grows, modern visualization systems are changing. Traditional information visualization techniques are often not sufficient to allow an in-depth visual data exploration process. Multiple view systems combined with linking & brushing are only one building block of a successful InfoVis system. In this paper we propose the incorporation ...
متن کاملInteractive Feature Specification for Focus+Context Visualization of Complex Simulation Data
Visualization of high-dimensional, large data sets, resulting from computational simulation, is one of the most challenging fields in scientific viualization. When visualization aims at supporting the analysis of such data sets, feature-based approches are very useful to reduce the amount of data which is shown at each instance of time and guide the user to the most interesting areas of the dat...
متن کاملA Four-level Focus+Context Approach to Interactive Visual Analysis of Temporal Features in Large Scientific Data
In this paper we present a new approach to the interactive visual analysis of time-dependent scientific data – both from measurements as well as from computational simulation – by visualizing a scalar function over time for each of tenthousands or even millions of sample points. In order to cope with overdrawing and cluttering, we introduce a new four-level method of focus+context visualization...
متن کاملFocus + Context Visualization with Animation
In this paper, we present some novel animation techniques to help users understand complex structures contained in volumetric data from the medical imaging and scientific simulation fields. Because of the occlusion of 3D objects, these complex structures and their 3D relationships usually cannot be revealed using one image. By our animation techniques, the focus regions, the context regions, an...
متن کامل