Improving the Egomotion Estimation by Correcting the Calibration Bias (CROSBI ID 623595)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Krešo, Ivan ; Šegvić, Siniša
engleski
Improving the Egomotion Estimation by Correcting the Calibration Bias
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 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.
Stereo Vision ; Camera Motion Estimation ; Visual Odometry ; Feature Tracking ; Camera Calibration ; Camera Model Bias ; Deformation Field.
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Podaci o prilogu
1-10.
2015.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 10th International Conference on Computer Vision Theory and Applications
Jose Braz, Sebastiano Battiato and Francisco Imai
Berlin: SCITEPRESS
978-989-758-089-5
Podaci o skupu
10th International Conference on Computer Vision Theory and Applications
predavanje
11.03.2015-14.03.2015
Berlin, Njemačka