Now showing items 1-4 of 4

    • Lower bounds for the complexity of the Hausdorff distance 

      Rucklidge, William J. (Cornell University, 1994-08)
      The Hausdorff distance is a similarity measure defined between sets in the plane. Algorithms to find the minimum distance as one set is transformed have been described, but few lower bounds are known. We describe new ...
    • A Multi-Resolution Technique for Comparing Images Using the Hausdorff Distance 

      Huttenlocher, Daniel P.; Rucklidge, William J. (Cornell University, 1992-12)
      The Hausdorff distance measures the extent to which each point of a "model" set lies near some point of an "image" set and vice versa. In this paper we describe an efficient method of computing this distance, based on a ...
    • Tracking Non-Rigid Objects in Complex Scenes 

      Huttenlocher, Daniel P.; Noh, Jae J.; Rucklidge, William J. (Cornell University, 1992-12)
      We consider the problem of tracking non-rigid objects moving in a complex scene. We describe a model-based tracking method, in which two-dimensional geometric models are used to localize an object in each frame of an ...
    • Visually-Guided Navigation by Comparing Two-Dimensional Edge Images 

      Huttenlocher, Daniel P.; Leventon, Michael E.; Rucklidge, William J. (Cornell University, 1994-01)
      We present a method for navigating a robot from an initial position to a specified landmark in its visual field, using a sequence of monocular images. The location of the landmark with respect to the robot is determined ...