Computational vision in neural and machine systems / edited by Laurence R. Harris, Michael R. M. Jenkin. — Cambridge : Cambridge University Press, c2007. – (73.995/C738)

Contents

    Contents
    
    List of contributors
    1 Computational vision in neural and machine systems
    I Dynamical systems
    2 Exploring contrast-controlled adaptation processes in human vision (with help from Buffy the Vampire Slayer
    3 Image comparison and motion detection by a contrario methods
    4 Computer vision in the Mars Exploration Rover (MER) mission
    5 Calibration and shape recovery from videos of dynamic scenes
    6 Specular planar target surface recovery via coded target stereopsis
    7 Neural construction of objects from parts
    II Attention， motion， and eye movements
    8 Attention and action
    9 Cueing visual search in clutter
    10 Transsaccadic memory of visual features
    11 Modeling what attracts human gaze over dynamic natural scenes
    12 Global stereo in polynomial time
    13 Computational analysis of binocular half occlusions
    14 Speed versus quality - measuring and optimizing stereo for telepresence 241
    15 Binocular combination: measurements and a model