Vision Based 3D Tracking with Applications to Augmented Reality
In augmented reality applications, tracking and registration of cameras and objects are required because, to combine real and rendered scenes, we must project synthetic models at the right location in real images. We present here an accurate solution that works in real-time even under difficult conditions.
3-D Face Tracking Demo
Our 3D tracking algorithm is robust enough to track a human face, given a rough and generic 3D model of the face. Then virtual objects can be added in a realistic way and in real-time. We use a 2-D face detector to automatically initialize the tracking.
This demonstration was presented at different exhibitions where we successfully tracked the faces of hundreds of people of all ages.
Rigid Object 3-D Tracking
|Horizontal 360 degree rotation
around the object
|Video showing the keyframes
from the Seventies
Combining Edge and Texture Information
We also integrated the ability to take edge-information into account. We propose a method for handling cluttered or textured backgrounds that is similar in speed to approaches that consider only single hypotheses.
|Augmenting a Corridor|