A Full-View Spherical Image Format

This paper proposes a full-view spherical image format which is based on the geodesic division of a sphere. In comparison with the conventional 3D array representation which consists of five parallelograms, the proposed spherical image format is a simple 2D array representation. The algorithms of finding the neighboring pixels given a pixel of a spherical image and mapping between spherical coordinate and spherical image pixel are given also.

[1]  Chris Goad,et al.  Special purpose automatic programming for 3D model-based vision , 1987 .

[2]  Y. J. Tejwani,et al.  Robot vision , 1989, IEEE International Symposium on Circuits and Systems,.

[3]  Berthold K. P. Horn Extended Gaussian images , 1984, Proceedings of the IEEE.

[4]  Shigang Li,et al.  Monitoring Around a Vehicle by a Spherical Image Sensor , 2006, IEEE Transactions on Intelligent Transportation Systems.

[5]  Avinash C. Kak,et al.  A robot vision system for recognizing 3D objects in low-order polynomial time , 1989, IEEE Trans. Syst. Man Cybern..

[6]  Qiang Du,et al.  Constrained Centroidal Voronoi Tessellations for Surfaces , 2002, SIAM J. Sci. Comput..

[7]  Katsushi Ikeuchi,et al.  Generating an interpretation tree from a CAD model for 3D-object recognition in bin-picking tasks , 1987, International Journal of Computer Vision.

[8]  Seth J. Teller,et al.  Spherical Mosaics with Quaternions and Dense Correlation , 2000, International Journal of Computer Vision.

[9]  Michael D. Naish,et al.  Developing a Modular Active Spherical Vision System , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.