Now showing items 1-6 of 6

    • Analysis of Differential and Matching Methods for Optical Flow 

      Little, James J.; Verri, Alessandro (1988-08-01)
      Several algorithms for optical flow are studied theoretically and experimentally. Differential and matching methods are examined; these two methods have differing domains of application- differential methods are best ...
    • Motion Field and Optical Flow: Qualitative Properties 

      Verri, Alessandro; Poggio, Tomaso (1986-12-01)
      In this paper we show that the optical flow, a 2D field that can be associated with the variation of the image brightness pattern, and the 2D motion field, the projection on the image plane of the 3D velocity field of ...
    • A Note on Support Vector Machines Degeneracy 

      Rifkin, Ryan; Pontil, Massimiliano; Verri, Alessandro (1999-08-11)
      When training Support Vector Machines (SVMs) over non-separable data sets, one sets the threshold $b$ using any dual cost coefficient that is strictly between the bounds of $0$ and $C$. We show that there exist SVM ...
    • Perspective Projection Invariants 

      Verri, Alessandro; Yuille, Alan (1986-02-01)
      An important part of stereo vision consists of finding and matching points in two images which correspond to the same physical element in the scene. We show that zeros of curvature of curves are perspective projection ...
    • Properties of Support Vector Machines 

      Pontil, Massimiliano; Verri, Alessandro (1997-08-01)
      Support Vector Machines (SVMs) perform pattern recognition between two point classes by finding a decision surface determined by certain points of the training set, termed Support Vectors (SV). This surface, which in some ...
    • Regularization Theory and Shape Constraints 

      Verri, Alessandro; Poggio, Tomaso (1986-09-01)
      Many problems of early vision are ill-posed; to recover unique stable solutions regularization techniques can be used. These techniques lead to meaningful results, provided that solutions belong to suitable compact ...