ΩX = Ω + ̄X cos α - Ω + ̄Y sin α ΩY = Ω + ̄Y cos α +Ω + ̄X sin α ΩZ = Ω + ̄Z
p = p + ̄ cos α - q + ̄ sin α (A5) q = q + ̄ cos α + p + ̄ sin α kxx = k + U0304xx cos2 α + k + ̄yy sin2 α - 2k + ̄xy sin α cos α kyy = k + ̄yy cos2 α + k + ̄xx sin2 α + 2k + 4xy sin α cos α kxy = k + ̄xy (cos2 α - sin2 α) - (k + ̄yy - k + ̄xx) sin α cos α.
Much of this work was performed while the authors were with the Computer Vision Laboratory, Center for Automation Research, University of Maryland. Support of the National Science Foundation, the National Bureau of Standards, and the Defense Advanced Research Projects Agency during various phases of our research is gratefully acknowledged.
Acton, F. S., 1970. Numerical methods that work. New York: Harper & Row.
Adelson, E. H., & Bergen, J. R., 1985. "Spatiotemporal energy models for the perception of motion". Journal of the Optical Society of America A2, pp. 284-299.
Adiv, G., 1984 (October). "Determining 3-D motion and structure from optical flow generated by several moving objects". Proceedings of the DARPA Image Understanding Workshop, pp. 113-129, New Orleans: SAIC.
Anderson, C. H., Burt, P. J., & van der G. S. Wal, 1985 (September). "Change detection and tracking using pyramid transform techniques". Proceedings of the SPIE Conference on Intelligent Robots and Computer Vision, Boston.
Aris, R., 1962. Vectors, tensors, and the basic equations of fluid mechanics. Englewood Cliffs, NJ: Prentice-Hall.
Bandyopadhyay, A. 1985 (October). Constraints on the computation of rigid motion parameters from retinal displacements. University of Rochester, Dept. of Computer Science. Tech. Report 168.
Bandyopadhyay, A. and Aloimonos, J. 1985 (March). Perception of rigid motion from spatio- temporal derivatives of optical flow. University of Rochester, Dept. of Computer Science. Tech. Report 157.
Braunstein, M. L., 1976. Depth perception through motion. New York: Academic Press.