1. Reich A M., & Heipke C., (2014). Global approach for image orientation using lie algebraic rotation averageing and convex l∞ minimisation. U: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014, Zurich, Switzerland. 265-272.;
2. Jiang J., (2014). Estimation on Three-dimensional Motion Parameters in Binocular Vision of Robot Tracking and Control System. The Open Automation and Control Systems Journal, 6, 1498-1504.;
3. Liwicki S., Pham M-T., Zafeiriou S., Pantic M., & Stenger B., (2014). Full-Angle Quaternions for Robustly Matching Vectors of 3D Rotations. U: IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2014, Columbus, Ohio, USA. 105-112. doi:10.1109/CVPR.2014.21;
4. Zhang J., Lv L., Shi X., Guo F., Zhang Y., & Li H., (2013). Hough transform-based approach for estimating 3D rotation angles of vertebrae from biplanar radiographs using GPU-acceleration. International Journal of Imaging Systems and Technology, 23, 272-279.;
5. Fredriksson J., (2016). Robust rotation and translation estimation in structure from motion. U Mathematics Centre for Mathematical Sciences. Lund: Lund University.;