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Motion Understanding pp 101–142Cite as

The Empirical Study of Structure from Motion

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Part of the book series: The Kluwer International Series in Engineering and Computer Science ((SECS,volume 44))

Abstract

There have been important accomplishments in the computational analysis of the recovery of information about three-dimensional relationships in the environment from dynamic two-dimensional images. As an achievement in artificial intelligence and as a significant application to robotics, these results stand by themselves. There has been increasing interest, however, in applying these analyses to the study of human visual perception. The question of applicability of a particular computational analysis to human vision is an empirical one, and one that can only be answered through rigorous empirical research. In this chapter, I will review the current status of empirical research that addresses four issues of relevance to motion understanding. The first issue is whether there are two paths to the recovery of three-dimensional structure from motion: (a) one that proceeds from the primal sketch to a viewer-centered 2 1/2 dimensional sketch to an object-centered 3-dimensional model as proposed by Marr (1982), and (b) a direct path from the primal sketch to an object-centered representation, with viewer-centered information added from separate sources. The second issue is whether the solution to the correspondence problem must precede the extraction of structure from motion. The third issue is the now familiar controversy in the perception literature about whether a rigidity constraint plays a central role in the recovery of structure from motion.

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Authors
  1. Myron L. Braunstein
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Editors and Affiliations

  1. University of Virginia, USA

    W. N. Martin

  2. University of Texas at Austin, USA

    J. K. Aggarwal

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© 1988 Kluwer Academic Publishers

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Braunstein, M.L. (1988). The Empirical Study of Structure from Motion. In: Martin, W.N., Aggarwal, J.K. (eds) Motion Understanding. The Kluwer International Series in Engineering and Computer Science, vol 44. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-1071-6_4

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  • DOI: https://doi.org/10.1007/978-1-4613-1071-6_4

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4612-8413-0

  • Online ISBN: 978-1-4613-1071-6

  • eBook Packages: Springer Book Archive

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