Markerless Tracking/Accuracy

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It's possible to derive some conclusions about the accuracy from the assumptions stated on the main research project page.

capturing[edit]

The accuracy of the system is only as good as the data captured from reality. For example it's not possible to detect fully occluded objects with a normal camera. Also a wrong focal distance or bad lighting will hinder good tracking.

generating[edit]

The accuracy of the system is only as good as the data generated by the computer. For example it's just a rough assumption of real light conditions to use a single one point light and standard OpenGL based rendering.

Note: The simulation must include the whole evolutionary story of the image. If an camera captures images with a radial distorition, the renderer should do the same.

selecting[edit]

The accuracy of the system is only as good as the mechanism which compares generated and captured datasets. Completly identical data must result in 100% similarity. That's easy. The tricky part is to get a good statement about almost mathching and partial matching data. See the selection page for a discussion.