Abstract
When a purely rotating camera observes a general scene, overlapping views are related by a parallax-free warp which can be estimated by direct image alignment methods that iterate to optimise photo-consistency. However, building globally consistent mosaics from video has usually been tackled as an off-line task, while sequential methods suitable for real-time implementation have often suffered from long-term drift. In this paper we present a high performance real-time video mosaicing algorithm based on parallel image alignment via ESM (Efficient Second-order Minimisation) and global optimisation of a map of keyframes over the whole viewsphere. We present real-time results for drift-free camera rotation tracking and globally consistent spherical mosaicing from a variety of cameras in real scenes, demonstrating high global accuracy and the ability to track very rapid rotation while maintaining solid 30Hz operation. We also show that automatic camera calibration refinement can be straightforwardly built into our framework.
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References
Szeliski, R.: Image alignment and stitching: A tutorial. Foundations and Trends in Computer Graphics and Vision 2, 1–104 (2006)
Brown, M., Lowe, D.G.: Recognising panoramas. In: Proceedings of the International Conference on Computer Vision (ICCV) (2003)
Steedly, D., Pal, C., Szeliski, R.: Efficiently stitching large panoramas from video. In: Proceedings of the International Conference on Computer Vision (ICCV) (2005)
Szeliski, R., Shum, H.Y.: Creating full view panoramic image mosaics and environment maps. ACM Transactions on Graphics (SIGGRAPH) (1997)
Morimoto, C., Chellappa, R.: Fast 3D stabilization and mosaic construction. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (1997)
Civera, J., Davison, A.J., Magallón, J.A., Montiel, J.M.M.: Drift-free real-time mosaicing. International Journal of Computer Vision (IJCV) 81, 128–137 (2009)
Klein, G., Murray, D.W.: Parallel tracking and mapping for small AR workspaces. In: Proceedings of the International Symposium on Mixed and Augmented Reality (ISMAR) (2007)
Lu, F., Milios, E.: Globally consistent range scan alignment for environment mapping. Autonomous Robots 4, 333–349 (1997)
Gutmann, J.S., Konolige, K.: Incremental mapping of large cyclic environments. In: International Symposium on Computational Intelligence in Robotics and Automation (CIRA) (1999)
Lucas, B.D., Kanade, T.: An iterative image registration technique with an application to stereo vision. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI) (1981)
Malis, E.: Improving vision-based control using efficient second-order minimization techniques. In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA) (2004)
Mei, C., Benhimane, S., Malis, E., Rives, P.: Efficient homography-based tracking and 3-D reconstruction for single-viewpoint sensors. IEEE Transactions on Robotics (T-RO) 24, 1352–1364 (2008)
Silveira, G., Malis, E., Rives, P.: An efficient direct approach to visual SLAM. IEEE Transactions on Robotics (T-RO) 24, 969–979 (2008)
Agapito, L., Hayman, E., Reid, I.: Self-calibration of rotating and zooming cameras. International Journal of Computer Vision (IJCV) 45, 107–127 (2001)
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Lovegrove, S., Davison, A.J. (2010). Real-Time Spherical Mosaicing Using Whole Image Alignment. In: Daniilidis, K., Maragos, P., Paragios, N. (eds) Computer Vision – ECCV 2010. ECCV 2010. Lecture Notes in Computer Science, vol 6313. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15558-1_6
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DOI: https://doi.org/10.1007/978-3-642-15558-1_6
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