Augmented Reality (AR) Office App

1. User could not see image directly from the camera when using the app with see-through devices like Epson Glasses and using a projection matrix available by AR Toolkit was not possible.
2. The sensor data contained additional meaningless information, and we could not use it for long-term position tracking.
3. The magnometer data was out of line and produced different scale on each axis. This caused data dependency on the device orientation. With another words, when user walked through the same route twice in opposite directions, different values were produced by the magnetometer.

We decided to use calibration method to derive eye-to-eye camera relations. Next, we obtained the intrinsic camera matrix of an eye in the camera coordinate system by calibrating ten points with known coordinates. This was done for both the left and right eye independently.

the values we derived from magnetic field was used to create a map of our client’s office. So when user walked through route, we traced magnetic field changes to obtain user’s walk through path. We used a custom designed calibration method to obtain correction coefficients.

1. Users can now see augmented images perfectly aligned with real objects with 20 x 20 vision using see-through devices.
2. User position can be determined with accuracy of 5 to 6.5 feet.
3. Our custom designed calibration method produced stable, direction-independent values of the magnetic field.