Estimating the Depth Uncertainty in Three-Dimensional Virtual Environment

Puneet Sharma and Ali Alsam


eye fixations, depth estimation, virtual environment


Visual interaction in 3-D virtual space can be achieved by estimating objects depth from the fixations of the left and right eyes. The current depth estimation methods, however do not account for the presence of noise in the data. To address this problem we note that any measured fixation point is a member of a statistical distribution defined by the level of noise in the measurement. We thus propose a new numerical method that provides a range of depth values based on the uncertainty in the measured data.

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