Temporally Coherent Stereo:
Improving Performance Through Knowledge of Motion
Vladimir Tucakov, David G. Lowe
Dept. of Computer Science, University of British Columbia
Vancouver, B.C., Canada
This paper introduces the idea of temporally extending
results of a stereo algorithm in order to improve the algorithm's performance.
This approach anticipates the changes between two
consecutive depth maps resulting from the motion of the cameras.
Uncertainties in motion are accounted for by computation of an ambiguity area
and a resulting disparity range for each pixel.
The computation is used to verify and
refine the anticipated values, rather than calculate them without prior knowledge.
The paper compares the performance of the algorithm under different
constraints on motion. Speedups of up to 400% are achieved without
Tue Oct 8 13:05:04 PDT 1996