1. Ware:Vislab:CCOM Basics Vision+

2. Ware:Vislab:CCOM Data Classes  Scalar Field 1D 2D 3D  Vector Field 1D 2D 3D  Time Varying All of the above  Discrete 1D K-dimensional  Nominal Overlapping sets of data with multiple nominal attributes  Graph G = {V,E} Tree Directed acyclic Entities and Relationships Hyper graph What is a map?

3. Human Visual Field

4. Visual Angle

5. 1 diopter: a lens that focuses at 1 meter. 45d Cornea ~15d Lens d = 1/f

6. Acuities Vernier super acuity (10 sec) Grating acuity Two Point acuity (0.5 min) What is the ideal resolution

7. CAVE  Resolution problems  Light scattering problems iPhone 1136x640 8 cm 1280x1024

8. CAVE  Resolution problems  Light scattering problems iPhone 1280x1280 140 pixels/degree 14 pixels/deg 20,000 pixels/ deg 2 196 pixels/ deg 2

9. Immersion VR  HMD + head tracking  Data glove

10. Human Spatial Acuity

11. Cutoff at 50 cycles/deg.  Receptors: 20 sec of arc  Pooled over larger and larger areas  100 million receptors  1 million fibers to brain  A desktop screen may have 30 pixels/cm – need about 4 times as much.  I phones better.  VR displays have 5 pixels/cm

12. Aliasing and Anti aliasing

13. Temporal Aliasing  Human Flicker fusion 50 Hz  Temporal aliasing occurs with moving targets  Must compute motion blur to fix the problem

14. Acuity Distribution

15. Brain Pixels

16. Ware:Vislab:CCOM

19. Visual search

20. The Process of Visual Thinking Ware:Vislab:CCOM