Sensing and the Imaging Process              (II)      Introduction to Computational and Biological Vision                ...
The human eye
The human eye
The human eyePinhole camera model
The human eye          Pinhole camera model: Basic geometry                                                 Optical axisIm...
The human eye                          Pinhole camera model: Perspective projection                                       ...
The human eye                  Pinhole camera model: Perspective projectionDurer (c. 1500)
The human eyePinhole camera model: Basic geometry   Recovery of structure is ill defined
The human eye       The retina:The biological image plane
The human eye           Aside – Neural signaling and communication                         Cerebellar                 Cere...
The human eyeAside – Neural signaling and communication
The human eyeAside – Neural signaling and communication
The human eye                                       The retinaVariety of cells:     Photoreceptors: ~100 million (95% rods...
The human eyeA defective design?         Light
The human eyeThe optic disk and the blind spot
The human eyeThe optic disk and the blind spot
The human eye     Rods and cones     Rods:         •Extremely sensitivity to light         •Single photon response        ...
The human eye Rods and cones
The human eye            Rods and cones        )    t (S                        M)                      m(  or            ...
The human eyeRods and cones: distribution across the retina
The human eye         The fovea (“pit”)            •Extremely high density of cone receptors            •Few rods. None in...
The human eyeThe fovea: distribution of optic fibers
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Icbv lecture-notes-12-sensing-2-the-human-eye-1 spp

  1. 1. Sensing and the Imaging Process (II) Introduction to Computational and Biological Vision CS 202-1-5261 Computer Science Department, BGU Ohad Ben-Shahar
  2. 2. The human eye
  3. 3. The human eye
  4. 4. The human eyePinhole camera model
  5. 5. The human eye Pinhole camera model: Basic geometry Optical axisImageplane Virtual Image Pinhole plane (center of projection)
  6. 6. The human eye Pinhole camera model: Perspective projection P = ( x, y , z ) Pi = ( xi , yi , f ) fPi = (− xi ,− yi ,− f ) O  x xi yi f  xi = f ⋅ z OPi = λ ⋅ OP ⇒ λ= = = ⇒  x y z y  yi = f ⋅  z
  7. 7. The human eye Pinhole camera model: Perspective projectionDurer (c. 1500)
  8. 8. The human eyePinhole camera model: Basic geometry Recovery of structure is ill defined
  9. 9. The human eye The retina:The biological image plane
  10. 10. The human eye Aside – Neural signaling and communication Cerebellar CerebellarRetinal bipolar cell Purkinje cell pyramidal cell
  11. 11. The human eyeAside – Neural signaling and communication
  12. 12. The human eyeAside – Neural signaling and communication
  13. 13. The human eye The retinaVariety of cells: Photoreceptors: ~100 million (95% rods,5% cones) Bipolar cells Ganglion cells Amacrine cells Horizontal cellsOptic nerve: Made of axons of secondary (ganglion) neurons ~1 million axons
  14. 14. The human eyeA defective design? Light
  15. 15. The human eyeThe optic disk and the blind spot
  16. 16. The human eyeThe optic disk and the blind spot
  17. 17. The human eye Rods and cones Rods: •Extremely sensitivity to light •Single photon response •Low spatial resolution •Single response profile •B&W night vision (scotopic) Cones: •Relatively insensitive to light •100 photos for response comparable with rods •High spatial resolution •Different (3 types of) response profiles •Color daylight vision (photopic)
  18. 18. The human eye Rods and cones
  19. 19. The human eye Rods and cones ) t (S M) m( or LongSh d iu Me L) (
  20. 20. The human eyeRods and cones: distribution across the retina
  21. 21. The human eye The fovea (“pit”) •Extremely high density of cone receptors •Few rods. None in the foveola. •Displaced neural layers •No blood vessels •1-1 relationship with bipolar and ganglion cells1.2 mm
  22. 22. The human eyeThe fovea: distribution of optic fibers

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