Abstract
Potential obstacles in the path of a mobile robot that can often
be characterized as shallow (i.e., their extent in depth is small
compared to their distance from the camera) are considered. The
constraint of affine trackability is applied to automatic identification
and 3-D reconstruction of shallow structures in realistic scenes. It is
shown how this approach can handle independent object motion, occlusion,
and motion discontinuity. Although the reconstructed structure is only a
frontal plane approximation to the corresponding real structure, the
robustness of depth of the approximation might be useful for obstacle
avoidance, where the exact shape of an object may not be of consequence
so long as collisions with it can be avoided
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