✦ LIBER ✦

A Probabilistic Model for Recovering Camera Translation

✍ Scribed by Ranxiao Frances Wang; James E. Cutting

Publisher: Elsevier Science
Year: 1999
Tongue: English
Weight: 208 KB
Volume: 76
Category: Article
ISSN: 1077-3142
DOI: 10.1006/cviu.1999.0798

No coin nor oath required. For personal study only.

✦ Synopsis

This paper describes the mathematical basis and application of a probabilistic model for recovering the direction of camera translation (heading) from optical flow. According to the theorem that heading cannot lie between two converging points in a stationary environment, one can compute the posterior probability distribution of heading across the image and choose the heading with maximum a posteriori (MAP). The model requires very simple computation, provides confidence level of the judgments, applies to both linear and curved trajectories, functions in the presence of camera rotations, and exhibited high accuracy up to 0.1 • -0.2 • in random dot simulations.

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