Perceptual Optimization Project

This NSF ITR funded collarborative project. has the goal of developing perceptually optimal methods for visualizing data such as flow patterns, overlapping surfaces and overlapping surfaces. It makes use of a high resolution sterescopic display, capable of generating images at the limit of resolution of the human eye.

The project is a collaboration between the following PIs and their students Colin Ware, University of New Hampshire : Donald House Texas A&M: David Laidlaw, Brown: Jeffrey Proehl: Dartmouth:

For components at the other sites follow these links: Texas A&M, Brown, Dartmouth.

This page shows some images relating to ongoing work at the University of New Hampshire.

 

The Ultra high resolution Wheatstone stereosocpic display at the University of New Hampshire. Each eye receives 9.2 million pixels of information

Virtual tracers dropped into a running model of the Chesapeake

This study by Karthik Natham and Colin Ware involved showing subjects 3456 different versions of the same two overlapping layers to discover the factors such as streak width, spacing, color and trasparency that best allow for the perception of two overlapping flow layers.