Tracking Technique in Augmented Reality and Virtual Reality

2348 WordsJun 20, 201810 Pages
Zhou et al (2008, p.193) observe that the difference between tracking techniques in Augmented Reality (AR) and those used in Virtual Reality (VR) stem from the interoperability of the two systems. On the other hand, State et al (1995, p.1) contend that there are significant contributions to tracking in VR than AR. Work prior to that of State et al (1995) indicates that the better fraction of tracking systems in VR are magnetic. However, Zhou et al (2008, p.196) observe that significant developments on tracking in AR are either vision-based, sensor-based or hybrid techniques. Bostanci et al (2011, p.425) classify the AR tracking methods in four major categories comprising of indoor, outdoor, fusion and recent approaches. The tracking…show more content…
Zhou et al (2008, p.194) indicate the reliance of VR tracking on mechanical sensor-based techniques making use of fiducial markers. Nevertheless, Zhou et al (2008, 194) agree with Martens et al (2004, p.25) that both VR and AR employ relative tracking techniques including the optical tracking. However, Martens et al (2004, p.25-6) contends that the level of technology involved in either similar techniques of tracking for VR and AR tend to incorporate more advancements in terms of technology and error dissemination. Pandya and Auner (2005) illustrate that both VR and AR tracking are capable of employing similar tracking techniques. These include robotic, magnetic, fiber-optic and infrared tracking techniques. Advantages of Tracking Techniques in Augmented Reality 1. Possibility of tracking relatively to objects that are moving 2. The tracking techniques in AR allow for minimizing the error of visual alignment due to making tracking measurements from the position of viewing 3. The tracking techniques sophistication levels in AR compared to those in VR have relatively high tracking accuracy. Nonetheless, Neumann and Cho (1996, p.109) caution that the accuracy of tracking varies in levels proportionate to visual range or size of the objects found in the image. On the other hand, Ababsa and Mallem (2005) contend that the pose calculation achieves the highest accuracy level in the plane of the image. Consequently, this leads to the minimization of the
Open Document