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«MULTI-CAMERA SIMULTANEOUS LOCALIZATION AND MAPPING Brian Sanderson Clipp A dissertation submitted to the faculty of the University of North Carolina ...»

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Nist´ r, D., Naroditsky, O., and Bergen, J. (2004). Visual odometry. volume 01, pages e 652–659, Los Alamitos, CA, USA. IEEE Computer Society.

Nist´ r, D. and Stew´ nius, H. (2006). Scalable recognition with a vocabulary tree. In IEEE e e Conference on Computer Vision and Pattern Recognition, pages 2161–2168.

Nist´ r, D. and Stew´ nius, H. (2008). Linear time maximally stable extremal regions. In Eue e ropean Conference on Computer Vision, pages 183–196, Berlin, Heidelberg. SpringerVerlag.

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Paskin, M. A. (2003). Thin junction tree filters for simultaneous localization and mapping.

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Schaub, H. and Junkins, J. L. (2003). Analytical Mechanics of Space Systems. American Institute of Aeronautics and Astronautics.

Schmid, C. and Zisserman, A. (1997). Automatic line matching across views. In IEEE Conference on Computer Vision and Pattern Recognition, pages 666 –671.

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Sibley, G. (2009). Relative bundle adjustment. Technical Report 2307/09, Department of Engineering Science, Oxford University.

Sibley, G., Mei, C., Reid, I., and Newman, P. (2009). Adaptive relative bundle adjustment.

In Robotics: Science and Systems.

Sivic, J. and Zisserman, A. (2003). Video Google: A text retrieval approach to object matching in videos. In IEEE International Conference on Computer Vision, volume 2, pages 1470–1477.

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o e PhD thesis, Lund University.

˚o Stew´ nius, H. and Astr¨ m, K. (2004). Structure and motion problems for multiple rigidly e moving cameras. In European Conference on Computer Vision, page 238ff, Prague, Czech Republic. An improved version of this in Chapter 9 of my thesis.

˚o Stew´ nius, H., Nist´ r, D., Oskarsson, M., and Astr¨ m, K. (2005). Solutions to minimal e e generalized relative pose problems. In Workshop on Omnidirectional Vision, Beijing China.

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Williams, B., Klein, G., and Reid, I. (2007). Real-time slam relocalisation. IEEE International Conference on Computer Vision, 0:1–8.

Wu, C. (2007). SiftGPU: A GPU implementation of scale invariant feature transform (SIFT). http://cs.unc.edu/˜ccwu/siftgpu.

Wu, C., Clipp, B., Li, X., Frahm, J.-M., and Pollefeys, M. (2008). 3d model matching with viewpoint invariant patches (vips). In IEEE Conference on Computer Vision and Pattern Recognition.

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Zach, C., Klopschitz, M., and Pollefeys, M. (2010). Disambiguating visual relations using

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