A vision-based augmented reality visual guidance system is presented. It utilises naturally occurring point features and does not require a global reference frame. Keyframes extracted from a training sequ- ence are used to provide multiple local reference frames. These keyframes are selected by minimising the uncertainties in structure recovery to find an optimal tradeoff between narrow and wide baselines.
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