- I used motion capture as a method of applying the motion data of
non-human objects to 3D objects. I also used motion data of numerous humans
and applied it to one figure. You can find my original goals for the class by
clicking here: Class Goals
- Motion capture was useful for this because it captured small eccentricities that may normally go overlooked through traditional animation methods. Motion capture also maintains all physics principles and true to life motions. The advantages of traditional methods over motion capture is that it is far less error prone, and also allows for exaggerated movements.
- The most important thing that went right during this project was that I properly learned how to use constraints and alternative methods of applying data points to objects. By learning this I can bypass having to use a standard skeleton and the MotionBuilder application process. The biggest thing to go wrong was my assumption that as soon as I would get the data applied, it would be perfectly clean. If I had to do this again I would allow myself much more time to go back and clean up any minor glitches in the data. If I had the opportunity to do this again, I would have also worked more closely with my modeler. There were several pieces that I did not consider before assigning the task, and if these portions would have been changed the motion would have looked much more natural and smooth.
- Detailed Problems
- As mentioned above, the most important thing that I learned is how to create animated objects using non-human or human variation data points. By setting up series of constraints, ik handles, and pole vectors, I can successfully attach data points to objects regardless of shape or movement. I also learned that the process of moving from model to rigging to animation is a highly colaborative effort and can bounce back and forth numerous times before the desired result is reached.
Last updated 06/02/05