Computational Vision in Neural and Machine Systems

Preface 1. Computational vision in neural and machine systems Michael Jenkin and Laurence Harris Part I. Dynamical Systems: 2. Exploring contrast-controlled adaptation processes in human vision (with help from Buffy the Vampire Slayer) Norma Graham and S. SabinaWolfson 3. Image comparison and motion detection by a contrario methods Frederic Cao, Thomas Veit and Patrick Bouthemy 4. Computer vision in the Mars Exploration Rover (MER) mission Larry Matthies, Mark Maimone, Yang Cheng, Andrew Johnson and Reg Willson 5. Calibration and shape recovery from videos of dynamic scenes Marc Pollefeys, Sudipta Sinha and Jingyu Yan 6. Specular planar target surface recovery via coded target stereopsis Arlene Ripsman, Piotr Jasiobedzki and Michael Jenkin 7. Neural construction of objects from parts Charles E. Connor Part II. Attention, Motion and Eye Movements: 8. Attention and action James J. Clark, Ziad M. Hafed and Li Jie 9. Cueing visual search in clutter Preeti Verghese 10. Transsaccadic memory of visual features Steven L. Prime, Matthias Niemeier and J. Douglas Crawford 11. Modeling what attracts human gaze over dynamic natural scenes Laurent Itti and Pierre Baldi Part III. Stereo: 12. Global stereo in polynomial time Carlo Tomasi 13. Computational analysis of binocular half occlusions Mikhail Sizintsev and Richard P.Wildes 14. Speed versus quality - measuring and optimizing Stereo for Telepresence Jane Mulligan 15. Binocular combination: measurements and a model Jian Ding and George Sperling Index.