论文信息 - Translation Estimation from Omnidirectional Images

Translation Estimation from Omnidirectional Images

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.

Richard I. Hartley | Jae-Hak Kim

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