Active Pursuit Tracking in a Projector-Camera System with

Application to Augmented Reality

Shilpi Gupta and Christopher Jaynes

University of Kentucky

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).

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.

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

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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