Head tracking is one thing that should consider when implementing the interactive VR applications. It is needed to calibrate the users' head position and orientation.
In optical tracking it uses camera and video stream as the input. Then the video frames are enhanced by image processing techniques and identify the certain feature of the image using vision technology. So that this feature identification can be determine the head position and orientation. This can be divided into two parts.
Shape, color and organization of the organs in the face are considered as feature parameters in feature based tracking. Just to mention few examples are Elliptical head tracking systems, example based head tracking system, color based head tracking systems using intensity gradients and color histograms.
Two or more cameras are using for 6DOF tracking. Marker based tracking can be divided into two parts. They are active maker based tracking and passive marker based tracking. Both are using simple vision algorithms to calibrate head position and orientation. Active marker based tracking are accurate and fast and passive marker based tracking is simple and inexpensive.
Comparing with optical marker based tracking, Wii mote tracking is more accurate. And marker based tracking has certain limitation.
FAAST is free to use and distribute for research and noncommercial purposes (for commercial uses, please contact us). If you use FAAST to support your research project, we request that any publications resulting from the use of this software include a reference to the toolkit .
- Optical Tracking
In optical tracking it uses camera and video stream as the input. Then the video frames are enhanced by image processing techniques and identify the certain feature of the image using vision technology. So that this feature identification can be determine the head position and orientation. This can be divided into two parts. - image feature based tracking
Shape, color and organization of the organs in the face are considered as feature parameters in feature based tracking. Just to mention few examples are Elliptical head tracking systems, example based head tracking system, color based head tracking systems using intensity gradients and color histograms.
- Marker based tracking
Two or more cameras are using for 6DOF tracking. Marker based tracking can be divided into two parts. They are active maker based tracking and passive marker based tracking. Both are using simple vision algorithms to calibrate head position and orientation. Active marker based tracking are accurate and fast and passive marker based tracking is simple and inexpensive.
- Wii remote tracking
Comparing with optical marker based tracking, Wii mote tracking is more accurate. And marker based tracking has certain limitation.- Light condition may affected for accurate tracking
- Markers may got invisible.
- LED markers may be good but it is also confused with light illumination problems.
- Environment should not contain colors that related to markers
- Head Tracking with Consumer Products
- FAAST
FAAST is free to use and distribute for research and noncommercial purposes (for commercial uses, please contact us). If you use FAAST to support your research project, we request that any publications resulting from the use of this software include a reference to the toolkit .
- Wii system
- Sources
- J. D. Mulder, J. Jansen, and A. V. Rhijn, “An affordable optical head tracking system for desktop VR / AR systems,” in Proc. workshop on Virtual environments 2003, pp. 215-223.
