Now showing items 1-2 of 2

    • Learning Object-Independent Modes of Variation with Feature Flow Fields 

      Miller, Erik G.; Tieu, Kinh; Stauffer, Chris P. (2001-09-01)
      We present a unifying framework in which "object-independent" modes of variation are learned from continuous-time data such as video sequences. These modes of variation can be used as "generators" to produce a manifold of ...
    • Model-Based Matching by Linear Combinations of Prototypes 

      Jones, Michael J.; Poggio, Tomaso (1996-12-01)
      We describe a method for modeling object classes (such as faces) using 2D example images and an algorithm for matching a model to a novel image. The object class models are "learned'' from example images that we call ...