This thesis explores novel approaches to improve visual camera localization and tracking for Handheld Augmented Reality. In particular, given a static environment with a known absolute orientation (and position), we improve the invariance and distinctiveness of feature descriptors for visual features in the environment. This is achieved by taking advantage of the auxiliary sensors attached to the camera in handheld devices, which measure the absolute orientation (and position) of the camera, i.e. GPS, compass, and inertial sensors.
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This thesis explores novel approaches to improve visual camera localization and tracking for Handheld Augmented Reality. In particular, given a static environment with a known absolute orientation (and position), we improve the invariance and distinctiveness of feature descriptors for visual features in the environment. This is achieved by taking advantage of the auxiliary sensors attached to the camera in handheld devices, which measure the absolute orientation (and position) of the camera, i.e...
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