Improving the Egomotion Estimation by Correcting the Calibration Bias

Ivan Krešo, Siniša Šegvić
2015 Proceedings of the 10th International Conference on Computer Vision Theory and Applications  
We present a novel approach for improving the accuracy of the egomotion recovered from rectified stereoscopic video. The main idea of the proposed approach is to correct the camera calibration by exploiting the known groundtruth motion. The correction is described by a discrete deformation field over a rectangular superpixel lattice covering the whole image. The deformation field is recovered by optimizing the reprojection error of point feature correspondences in neighboring stereo frames
more » ... stereo frames under the groundtruth motion. We evaluate the proposed approach by performing leave one out evaluation experiments on a collection of KITTI sequences with common calibration parameters, by comparing the accuracy of stereoscopic visual odometry with original and corrected calibration parameters. The results suggest a clear and significant advantage of the proposed approach. Our best algorithm outperforms all other approaches based on two-frame correspondences on the KITTI odometry benchmark.
doi:10.5220/0005316103470356 dblp:conf/visapp/KresoS15 fatcat:pc4fegidnjailpqs4lvsxntnpe