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Institute
Motion capture refers to the process of capturing, processing and trans- lating real motions onto a 3D model. Not only in the movie and gaming industries, motion capture creates an indispensable realism of human and animal movement. Also in the context of robotics, medical movement therapy, as well as in AR and VR, motion capture is used extensively. In addition to the well established optical processes, especially in the last three areas, alternative systems based on inertial navigation (IMUs) are being used in-creasingly, because they do not rely on external cameras and thus limit the area of movement considerably less.
Fast evolving technical progress in the manufacturing of such IMUs allows building small sensors, wearable on the body which can transfer movements to a computer. The development of applying inertial systems to a motion capture context, however, is still at an early state. Problems like drift can currently only be minimized by adding additional hardware for correcting the read data.
In the following master thesis an IMU based motion capture system is designed and constructed. This contains the assembly of the hardware components as well as processing of the received movement data on the software side and their application to a 3D model.
Tiny waves driven by wind, shallow, long waves, head overlapping sea, all of these waves occur in every ocean and even in small lakes. The surface of water is one of the most versatile phenomenas of nature. Not only the movement of waves, but also the reflection of sky, sun and coastline makes the surface of water unique. Exactly this complexity is what brings its own challenges to the simulation of water surfaces. That is why simulation of water occupies mathematicians with a challenge for nearly 400 years now.
In the last fifty years this challenge has more and more shifted to computer science. Computer graphic designers have tried to visualise water in a realistic manner for centuries. Science in this field expends from simple noise filters to mathematically complex solutions like Fourier Transformation.
In the following work historical background of todays wave theories, as well as mathematical fundamentals are given. The focus of this work is set on the implementation of these methods in OpenGL 3.3.
