Advances in Computer Vision - Vol. 1

By Christopher Brown | Go to book overview

ΩX = Ω + ̄X cos α - Ω + ̄Y sin α ΩY = Ω + ̄Y cos α +Ω + ̄X sin α ΩZ = Ω + ̄Z

and

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.


ACKNOWLEDGMENTS

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.


REFERENCES

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.

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Advances in Computer Vision - Vol. 1
Table of contents

Table of contents

  • Title Page iii
  • Contents v
  • Contributors vii
  • Introduction ix
  • References xiv
  • 1: The Visions Image-Understanding System 1
  • Introduction 2
  • Conclusion 105
  • Acknowledgements 106
  • References 107
  • 2: Robust Computation of Intrinsic Images from Multiple Cues 115
  • References 161
  • 3: Image Flow Theory: A Framework for 3-D Inference from Time-Varying Imagery 165
  • 3: Image Flow Theory 218
  • Acknowledgments 220
  • Author Index 225
  • Subject Index 229
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