1. R. Kakarala, D. Mao, A theory of phase-sensitive rotation invariance with spherical harmonic and moment-based representations, in: IEEE Conference on Computer Vision and Pattern Recognition CVPR׳10, pp. 105–112.
2. An approximate and efficient method for optimal rotation alignment of 3D models;Kazhdan;IEEE Trans. Pattern Anal. Mach. Intell.,2007
3. M. Kazhdan, T. Funkhouser, S. Rusinkiewicz, Rotation invariant spherical harmonic representation of 3D shape descriptors, in: Proceedings of the 2003 Eurographics/ACM SIGGRAPH Symposium on Geometry Processing, SGP ׳03, Eurographics Association, Aire-la-Ville, Switzerland, 2003, pp. 156–164.
4. J. Fehr, Local rotation invariant patch descriptors for 3D vector fields, in: 20th International Conference on Pattern Recognition ICPR׳10, IEEE Computer Society, Piscataway, New Jersey, USA, 2010, pp. 1381–1384.
5. J. Fehr, H. Burkhardt, 3D rotation invariant local binary patterns, in: 19th International Conference on Pattern Recognition ICPR׳08, IEEE Computer Society, Omnipress, Madison, Wisconsin, USA, 2008, pp. 1–4.