Brushing Techniques for Exploring Volume Datasets
Pak Chung Wong, R. Daniel Bergeron · 1997
We describe several visualization techniques based on the notion of multiresolution brushing to browse large three dimensional volume datasets. Our software is implemented using public domain libraries, and is designed to run on average-equipped desktop computers such as a Linux machine with 32M of memory. Empirically, our system allows scientists to obtain information from a large dataset with over 8.3 million numbers in interactive time. We show that very large scientific volume datasets can be accessed and utilized without expensive hardware and software. 1 Introduction Scientific volume visualization is currently gaining popularity but the cost of rendering has hindered the development of general applications for widespread use. Although visualization researchers have developed new techniques to improve the performance of the underlying hardware [6, 12] and software [1, 8], more powerful machines with ever improving calibrations are producing larger and larger volume datasets ever...