Kim, Jae-HakHartley, Richard2015-12-132015-12-13December 60769524672http://hdl.handle.net/1885/81446We 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.Keywords: Cameras; Estimation; Matrix algebra; Measurement errors; Problem solving; Robustness (control systems); Missing data; Omnidirectional images; Projective reconstruction method; Translation estimation method; Image reconstruction200510.1109/DICTA.2005.15781202015-12-11