Browsing Computer Science and Artificial Intelligence Lab (CSAIL) by Subject "analog networks"

Now showing items 1-4 of 4

  • Analog "Neuronal" Networks in Early Vision 

    Unknown author (1985-06-01)
    Many problems in early vision can be formulated in terms of minimizing an energy or cost function. Examples are shape-from-shading, edge detection, motion analysis, structure from motion and surface interpolation ...

  • Energy Functions for Early Vision and Analog Networks 

    Unknown author (1987-11-01)
    This paper describes attempts to model the modules of early vision in terms of minimizing energy functions, in particular energy functions allowing discontinuities in the solution. It examines the success of using ...

  • Massively Parallel Implementations of Theories for Apparent Motion 

    Unknown author (1987-06-01)
    We investigate two ways of solving the correspondence problem for motion using the assumptions of minimal mapping and rigidity. Massively parallel analog networks are designed to implement these theories. Their ...

  • Nonlinear Analog Networks for Image Smoothing and Segmentation 

    Unknown author (1991-01-01)
    Image smoothing and segmentation algorithms are frequently formulatedsas optimization problems. Linear and nonlinear (reciprocal) resistivesnetworks have solutions characterized by an extremum principle. Thus,sappropriately ...