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Surface orientation and time to contact from image divergence and deformation

  • Roberto Cipolla
  • Andrew Blake
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 588)

Abstract

This paper describes a novel method to measure the differential invariants of the image velocity field robustly by computing average values from the integral of normal image velocities around image contours. This is equivalent to measuring the temporal changes in the area of a closed contour. This avoids having to recover a dense image velocity field and taking partial derivatives. It also does not require point or line correspondences. Moreover integration provides some immunity to image measurement noise.

It is shown how an active observer making small, deliberate motions can use the estimates of the divergence and deformation of the image velocity field to determine the object surface orientation and time to contact. The results of real-time experiments are presented in which arbitrary image shapes are tracked using B-spline snakes and the invariants are computed efficiently as closed-form functions of the B-spline snake control points. This information is used to guide a robot manipulator in obstacle collision avoidance, object manipulation and navigation.

Keywords

Robot Manipulator Temporal Derivative Surface Orientation Closed Contour Translational Velocity 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1992

Authors and Affiliations

  • Roberto Cipolla
    • 1
    • 2
  • Andrew Blake
    • 1
  1. 1.Department of Engineering ScienceUniversity of OxfordEngland
  2. 2.Toshiba FellowToshiba Research and Development CenterKawasakiJapan

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