Abstract
We propose a novel stereo visual odometry approach, which is especially suited for poorly textured environments. We introduce a novel, fast line segment detector and matcher, which detects vertical lines supported by an IMU. The patches around lines are then used to directly estimate the pose of consecutive cameras by minimizing the photometric error. Our algorithm outperforms state-of-the-art approaches in challenging environments. Our implementation runs in real-time and is therefore well suited for various robotics and augmented reality applications.
Originalsprache | englisch |
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Titel | 11th International Conference on Computer Vision Theory and Applications (VISAPP), 2016 |
Publikationsstatus | Veröffentlicht - Feb 2016 |
Veranstaltung | 11th International Conference on Computer Vision Theory and Applications (VISAPP) - Rome, Italien Dauer: 27 Feb 2016 → 29 Feb 2016 |
Konferenz
Konferenz | 11th International Conference on Computer Vision Theory and Applications (VISAPP) |
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Land | Italien |
Ort | Rome |
Zeitraum | 27/02/16 → 29/02/16 |