Translation Estimation from Omnidirectional Images
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Kim, Jae-Hak
Hartley, Richard
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Institute of Electrical and Electronics Engineers (IEEE Inc)
Abstract
We present a translation estimation method from omnidirectional images with missing data. Given omnidirectional images, it is possible to estimate the rotations of each camera using a fundamental matrix. We can thus get the translations of each camera using a plane-based projective reconstruction method. However, the plane-based translation estimation method does not give a robust result when there are measurement errors in the data. The method proposed in this paper solves this problem and shows more reliable results than the previous method.
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Proceedings of the Digital Imaging Computing: Techniques and Applications (DICTA 2005)