Advances in Computer Vision - Vol. 1

By Christopher Brown | Go to book overview

CONCLUSION

In our effort to compute intrinsic images in a unique and robust way, we have combined information from different sources. In this chapter we discussed how to combine retinal motion with stereo to compute three- dimensional motion without using any correspondences and how to combine shading with retinal motion to compute shape and illuminate direction.


REFERENCES

Aloimonos, J., "Computing intrinsic images." Ph.D. thesis, Department of Computer Science, University of Rochester: New York, September, 1986.

Ballard, D. H., "Parameter networks." Artificial Intelligence, 22, 235-267, 1984.

Bandopadhay, A., "A multiple channel model for the perception of optical flow." Proceedings, IEEE Workshop on Computer Vision: Representation and Control: Annapolis, MD, 78-82, 1984.

Bandopadhay, A., "A computational study of rigid motion perception." Ph.D. thesis, Dept. of Computer Science, University of Rochester: New York, September, 1986.

Barrow, H. G., & Popplestone, R. J., "Relational descriptions in picture processing." Machine Intelligence, 6, 1971. pp. 377-396.

Barrow, H. G., & J. M. Tenenbaum, "Recovering intrinsic scene characteristics from images." In Computer Vision Systems, A. R. Hansen & E. M. Riseman (Eds.), Academic Press: New York, 1978. pp. 3-26.

Brice, C. R., & Fennema, C. L., "Scene analysis using regions." Artificial Intelligence, I, 205- 226, 1970.

Brooks, M. J., & Horn, B. K. P. "Shape and source from shading." Proceedings, International Joint Conference on Artificial Intelligence-85: Los Angeles, CA, 932-936, August 1985.

Brown, C. M., Ballard, D. H., & Kimball, O. A., "Constraint interaction in shape-from- shading algorithms." 1982-93 Computer Science and Computer Engineering Research Review, Computer Science Department, University of Rochester: New York, 3-21, 1983.

Bruss, A., & Horn, B. K. P. "Passive nagivation." Computer Vision, Graphics and Image Processing, 21, 3-20, 1983.

Clowes, M. B. "On seeing things," Artificial Intelligence 2, 1, Spring, 1971, 79-116.

Davis, L. S., Wu Z., & Sun, H., "Contour based motion estimation." Computer Vision, Graphics and Image Processing, 23, 313-326, 1983.

Fang, J. Q., & Huang, T. S., "Solving three-dimensional small-rotation motion equations: Uniqueness, algorithms, and numerical results." Computer Vision, Graphics and Image Processing, 26, 183-206, 1984.

Freuder, E. C., "A computer vision system for visual recognition using active knowledge." TR 345, MIT AI Lab, 1974.

Grimson, W. E. L. "Binocular shading and visual surface reconstruction." Computer Vision, Graphics and Image Processing, 28, 19-44, 1984.

Haralick, R. M., & Lee, J. S., "The facet approach to optical flow." Proceedings, DARPA Image Understanding Workshop: Arlington, VA, 84-93, June, 1983.

Hoffman, D. D., "Interpreting time-varying images: The planarity assumption." Proceedings

-161-

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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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