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Intro to Human Visual System and Displays

Intro to Human Visual System and Displays. Fundamental Optics Fovea Perception. These slides were developed by Colin Ware, Univ. of New Hampshire. Why Should We Be Interested In Visualization. Hi bandwidth to the brain (70% of all receptors ,40+% of cortex, 4 billion neurons)

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Intro to Human Visual System and Displays

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  1. Intro to Human Visual System and Displays • Fundamental Optics • Fovea • Perception These slides were developed by Colin Ware, Univ. of New Hampshire

  2. Why Should We Be Interested In Visualization • Hi bandwidth to the brain (70% of all receptors ,40+% of cortex, 4 billion neurons) • Can see much more than we can mentally image • Can perceive patterns (what dimensionality?)

  3. Perceptual versus Cultural

  4. Basic Pathways

  5. The machinery

  6. Human Visual Field

  7. Visual Angle

  8. Acuities Vernier super acuity (10 sec) Grating acuity Two Point acuity (0.5 min)

  9. Human Spatial Acuity

  10. 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 screen may have 30 pixels/cm – need about 4 times as much. • VR displays have 5 pixels/cm

  11. Acuity Distribution

  12. Brain Pixels

  13. Brain pixels=retinal ganglion cell receptive fields Field size = 0.006(e+1.0) - Anderson Characters = 0.046e - Anstis Ganglion cells Tartufieri

  14. 0.8 BP Pixels and Brain Pixels 1 bp 0.2 BP Small Screen Big Screen

  15. Perception • Many, many ways to trick the vision system.

  16. Intro to Color for Information Display • Color Theory • Color Geometries • Color applications • Labeling • Pseudo-color sequences

  17. Trichromacy Three cones types in retina

  18. Cone sensitivity functions

  19. Color measurement • Based on the “standard observer” • CIE tristimulus values XYX • Y is luminance. • Assumes all humans are the same

  20. Short wavelength sensitive cones Blue text on a dark background is to be avoided. We have very few short-wavelength sensitive cones in the retina and they are not very sensitive Blue text on a dark background is to be avoided. We have very few short-wavelength sensitive cones in the retina and they are not very sensitive. Chromatic aberration in the eye is also a problem Blue text on dark background is to be avoided. We have very few short-wavelength sensitive cones in the retina and they are not very sensitive Blue text on a dark background is to be avoided. We have very few short-wavelength sensitive cones in the retina and they are not very sensitive

  21. Color Channels

  22. Luminance “channel” • Visual system extracts surface information • Discounts illumination level • Discounts color of illumination • Mechanisms • 1) Adaptation • 2) Simultaneous contrast

  23. Luminance is not Brightness • Eye sensitive over 9 orders or magnitude • 5 orders of magnitude (room – sunlight) • Receptors bleach and become less sensitive with more light • Takes up to half an hour to recover sensitivity • We are not light meters

  24. Luminance contrast

  25. Contrast for constancy

  26. Contrast for constancy

  27. Brightness refers to perception of lights Brightness non linear Monitor Gamma Lightness refers to perception of surfaces Perceived lightness depends on a reference white Brightness Lightness and Luminance

  28. Luminance for Shape-from-shading

  29. Luminance Channel Detail Form Shading Motion Stereo Chromatic Channels Surfaces of things Labels Berlin and Kay Categories (about 6-10) Red, green, yellow and blue are special (unique hues) Channel Properties

  30. Chromatic Channels have Low Spatial Resolution • Luminance contrast needed to see detail 3:1 recommended 10:1 idea for small text

  31. Color phenomena Chromatic contrast Small field tritanopia

  32. Color “blindness” • A 3D to a 2D space • 8 % of males • R-G color blindness • Can generate color blind acceptable palette • Yellow blue variation OK

  33. Implications • Color perception is relative • We are sensitive to small differences- hence need sixteen million colors • Not sensitive to absolute values- hence we can only use < 10 colors for coding

  34. Color great for classification • Rapid visual segmentation • Color helps us determine type • Only about six categories

  35. Applications • Color interfaces • Color coding • Color sequences • Color for multi-dimensional discrete data

  36. Color Coding Large areas: low saturation Small areas high saturation Break isoluminance with borders

  37. Color Coding The same rules apply to color coding text and other similar information. Small areas should have high saturation colors, Large areas should be coded with low saturation colors Luminance contrast should be maintained

  38. Visual Principles • Sensory vs. Arbitrary Symbols • Pre-attentive Properties • Gestalt Properties • Relative Expressiveness of Visual Cues

  39. Sensory vs. Arbitrary Symbols • Sensory: • Understanding without training • Resistance to instructional bias • Sensory immediacy • Hard-wired and fast • Cross-cultural Validity • Arbitrary • Hard to learn • Easy to forget • Embedded in culture and applications

  40. American Sign Language • Primarily arbitrary, but partly representational • Signs sometimes based partly on similarity • But you couldn’t guess most of them • They differ radically across languages • Sublanguages in ASL are more representative • Diectic terms • Describing the layout of a room, there is a way to indicate by pointing on a plane where different items sit.

  41. Pre-attentive Processing • A limited set of visual properties are processed pre-attentively • (without need for focusing attention). • This is important for design of visualizations • What can be perceived immediately? • What properties are good discriminators? • What can mislead viewers? All Preattentive Processing figures from Healey 97http://www.csc.ncsu.edu/faculty/healey/PP/PP.html

  42. Example: Color Selection Viewer can rapidly and accurately determine whether the target (red circle) is present or absent. Difference detected in color.

  43. Example: Shape Selection Viewer can rapidly and accurately determine whether the target (red circle) is present or absent. Difference detected in form (curvature)

  44. Pre-attentive Processing • < 200 - 250ms qualifies as pre-attentive • eye movements take at least 200ms • yet certain processing can be done very quickly, implying low-level processing in parallel • If a decision takes a fixed amount of time regardless of the number of distracters, it is considered to be pre-attentive.

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