1. Active Pursuit Tracking in a Projector-Camera System with Application to Augmented Reality Shilpi Gupta and Christopher Jaynes University of Kentucky

2. Motivation Traditional human-computer interaction requires the use of a monitor, keyboard, and mouse. Discover new paradigms that lend themselves to collaborative work, decision making, and visualization tasks. Exploit active nature of a projector-camera system to develop new approaches to traditional vision algorithms (such as tracking).

3. Goals (1) Design a straight-forward real-time tracking algorithm that has minimal setup requirements, and is independent of a priori calibration. (2) Use the tracker as the basis for an augmented reality application that demonstrates a new approach to visualizing complex volumetric datasets.

4. Active Pursuit Tracking Estimate initial homography between camera and projector. Continually update homography estimate as the display surface moves by projecting virtual fiducials into the scene and detecting them in the camera. Calibration Projection of Virtual Fiducials Tracking

5. Applications Data navigation and visualization of scientific datasets using the active pursuit tracker. Calibrate both devices to a world reference frame (application specific). Position virtual volume in world. Tracked plane slices the volume.

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