Applying Artificial Neural Network to Track An Infrared Point by Using Wii Remote
Date Issued
2010
Date
2010
Author(s)
Kao, Yang-Yi
Abstract
Realistic interactions between users and virtual objects in a virtual reality environment are very important. In order to make users feel like acting in the real world, accurate tracking of the motions of the users in a virtual environment is necessary. Usually, tracking in a virtual environment could be achieved by stereovision. Triangular stereo vision is based on trigonometry, and it needs to build a complex mathematics model and to forecast many parameters. In addition, stereo vision method needs to calibrate cameras for different intrinsic parameters. Another serious problem in using triangulation method is that the distortion of camera lens might cause nonlinear errors in trigonometry calculation. For the reasons above, this thesis uses a neural network to calibrate cameras. Through the neural network’s parallel computing ability, it could solve nonlinear errors caused by the distortion of the lens. This thesis uses the Kalman filter to enhance the accuracy of tracking. Wii remotes from Nintendo are used as cameras for tracking infrared points. Finally, Wii remotes are used to track hand motions so that users can realistically interact with virtual objects in a virtual environment.
Subjects
Virtual Reality
Stereo-Vision
Camera Calibration
Neural Network
Kalman Filter
Type
thesis
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