Visualization of Scientific Video Data using KL Decomposition
by K. A. Robbins

Abstract

Fast methods are developed for visualizing and classifying certain types of scientific video data. These techniques, which are based on KL decomposition, find a best coordinate system for a data set. When the data set represents a temporally ordered collection of images, the best coordinate system leads to approximations that are separable in time and space. Practical methods for computing this best coordinate system are discussed, and physically significant visualizations for experimental video data are developed. The visualization techniques are applied to two experimental systems --- one from combustion and the other from neurobiology to show how relevant information can be quickly extracted from video data. These techniques can be integrated into the video acquisition process to provide real-time feedback to the experimentalist during the operation of an experiment.

Keywords:

Scientific visualization, real-time visualization, video analysis.

Complete paper (PDF)

Examples from the paper:

Counter-rotating Ring State Two Cell Standing Wave State Four Cell Hopping State

Additional Examples Using KL Decomposition: http://vip.cs.utsa.edu/flames/klvisual

Links to other Work on KL Decomposition: http://vip.cs.utsa.edu/flames/klvisual/links.html

This paper appears in IEEE Transactions on Visualization and Graphics (1998) vol. 4 no. 4 pp. 330-343 and is copyrighted by IEEE. The material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therin are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints of the copyright. In most cases, these works may not be reposted without explicit permission of the copyright holder.