Colour for Presentation Graphics Ross Ihaka Department of - - PowerPoint PPT Presentation

colour for presentation graphics
SMART_READER_LITE
LIVE PREVIEW

Colour for Presentation Graphics Ross Ihaka Department of - - PowerPoint PPT Presentation

Colour for Presentation Graphics Ross Ihaka Department of Statistics University of Auckland First Prev Next Last Go Back Full Screen Close Quit The Problem Many presentation graphics use coloured areas to


slide-1
SLIDE 1
  • First •Prev •Next •Last •Go Back •Full Screen •Close •Quit

Colour for Presentation Graphics

Ross Ihaka Department of Statistics University of Auckland

slide-2
SLIDE 2
  • First •Prev •Next •Last •Go Back •Full Screen •Close •Quit

The Problem

  • Many presentation graphics use coloured areas to encode

information.

  • The colours are used to indicate association with data groups.
  • Examples:

– Bar graphs – Pie charts – Mosaic plots

  • How should the colours be chosen?
slide-3
SLIDE 3
  • First •Prev •Next •Last •Go Back •Full Screen •Close •Quit

Blueberry Cherry Apple Boston Cream Other Vanilla Cream

January Pie Sales

Example from The POSTSCRIPT Language Tutorial and Cookbook. Produced by demo(graphics) in R.

slide-4
SLIDE 4
  • First •Prev •Next •Last •Go Back •Full Screen •Close •Quit

Michael Friendly: The Berkeley Admissions Data. http://www.math.yorku.ca/SCS/Courses/grcat/grc3.html#Fig_4fold2

slide-5
SLIDE 5
  • First •Prev •Next •Last •Go Back •Full Screen •Close •Quit

American Mathematical Society: Visual Explanations in Mathematics. http://www.ams.org/new-in-math/cover/visual1.html

slide-6
SLIDE 6
  • First •Prev •Next •Last •Go Back •Full Screen •Close •Quit

Approaches to Colour Choice

slide-7
SLIDE 7
  • First •Prev •Next •Last •Go Back •Full Screen •Close •Quit

Approaches to Colour Choice

  • Avoid colour.
slide-8
SLIDE 8
  • First •Prev •Next •Last •Go Back •Full Screen •Close •Quit

Approaches to Colour Choice

  • Avoid colour.
  • Determine colours by experimentation.
slide-9
SLIDE 9
  • First •Prev •Next •Last •Go Back •Full Screen •Close •Quit

Approaches to Colour Choice

  • Avoid colour.
  • Determine colours by experimentation.
  • Use “good taste” or expertise.
slide-10
SLIDE 10
  • First •Prev •Next •Last •Go Back •Full Screen •Close •Quit

Approaches to Colour Choice

  • Avoid colour.
  • Determine colours by experimentation.
  • Use “good taste” or expertise.
  • Use fixed palettes designed by an expert.
slide-11
SLIDE 11
  • First •Prev •Next •Last •Go Back •Full Screen •Close •Quit

Approaches to Colour Choice

  • Avoid colour.
  • Determine colours by experimentation.
  • Use “good taste” or expertise.
  • Use fixed palettes designed by an expert.
  • Look for guiding principles.
slide-12
SLIDE 12
  • First •Prev •Next •Last •Go Back •Full Screen •Close •Quit

Colour Vision

  • The cone cells of the retina provide our normal light

(photopic) vision.

  • Initially there was a single class of cone cell providing

monochrome vision.

  • The single class of cone cell differentiated into separate

yellow and blue sensitive cells.

  • The yellow class of cone cell differentiated into separate red

and green sensitive cells.

  • We now have three different types of cone cell, with peak

sensitivity at different light wavelengths.

slide-13
SLIDE 13
  • First •Prev •Next •Last •Go Back •Full Screen •Close •Quit

Color Axes

  • Evolution has given us a perception of colour which is three

dimensional. – Axis 1: Brightness. – Axis 2: Location on a yellow/blue scale. – Axis 3: Location on a red/green scale.

  • Our natural perception of colour seems to correspond to the

use of polar coordinates for axes 2 and 3. – Axis 1: Brightness (or Luminance) – Axis 2: Colourfulness (or Chroma) – Axis 3: Hue

slide-14
SLIDE 14
  • First •Prev •Next •Last •Go Back •Full Screen •Close •Quit

Yellow Green Red Blue

slide-15
SLIDE 15
  • First •Prev •Next •Last •Go Back •Full Screen •Close •Quit

Colour Spaces

  • RGB

Colours are represented by the amount of red, green and blue primaries required to produce a given colour sensation. Device dependent.

  • HSV, HSL, . . .

Transformations of RGB space which match our perception

  • f colour better than RGB.

Device dependent.

  • CIE-XYZ

Colours are described in terms of colour matching to a fixed (but imaginary) set of primary colours. Device independent.

slide-16
SLIDE 16
  • First •Prev •Next •Last •Go Back •Full Screen •Close •Quit

Uniform Colour Spaces

  • Munsell

An empirically calibrated, “perceptually uniform” color

  • space. Defined in terms of hue, brightness and chroma.

Device independent.

  • CIE-LAB

A transformed version of CIE-XYZ which is more perceptually uniform. Designed for reflective applications. Device independent.

  • CIE-LUV

Another transformed version of CIE-XYZ. Designed for emissive applications. Device independent.

slide-17
SLIDE 17
  • First •Prev •Next •Last •Go Back •Full Screen •Close •Quit

CIE-LUV

slide-18
SLIDE 18
  • First •Prev •Next •Last •Go Back •Full Screen •Close •Quit

Colour Harmony or Balance

  • Some of the most sensible advice on colour use is to be found

in the work of the American colourist Albert Munsell.

  • Munsell taught painting in Boston and derived some simple

principles for good colour use.

  • He provides simple recommendations on how colours can be

chosen in a harmonious way.

  • Unlike many prescriptions for colour use, Munsell’s

recommendations are quantitative.

  • The recommendations are directed at Munsell’s empirically

derived uniform colour space.

slide-19
SLIDE 19
  • First •Prev •Next •Last •Go Back •Full Screen •Close •Quit

Full Saturation Hues. These colours vary wildly in brightness and colourfulness.

slide-20
SLIDE 20
  • First •Prev •Next •Last •Go Back •Full Screen •Close •Quit

The circus wheel and poster, although they yell successfully for momentary attention, soon become so painful to the vision that we turn from them.

slide-21
SLIDE 21
  • First •Prev •Next •Last •Go Back •Full Screen •Close •Quit

“Balanced” Colours After Munsell These colours have equal brightness and colourfulness.

slide-22
SLIDE 22
  • First •Prev •Next •Last •Go Back •Full Screen •Close •Quit

Munsell Rediscovered

  • Munsell set down his ideas on colour harmony shortly before

the art world rejected prescriptions of balance and order.

  • Despite their rejection in fine arts, the ideas have been

retained and appreciated in the graphic arts printing industry.

  • The ideas appear to now be undergoing a rediscovery by

those working in visualisation user interface design.

slide-23
SLIDE 23
  • First •Prev •Next •Last •Go Back •Full Screen •Close •Quit

Choosing Colours for Presentation Graphics

  • Work in a perceptually uniform colour space (e.g. LUV).
  • To make colours comparable, make them have:

– Equal luminances (i.e. equally bright) – Equal chroma (i.e. be equally colourful).

  • Given these (and any other) constraints, space the colours out

as much a possible.

  • Such colours can be described as having “equal impact,”

because they differ only in hue.

slide-24
SLIDE 24
  • First •Prev •Next •Last •Go Back •Full Screen •Close •Quit

A Slice Through LUV Coordinates (L = 75) The circle has radius 55.

slide-25
SLIDE 25
  • First •Prev •Next •Last •Go Back •Full Screen •Close •Quit

A Six Colour Palette (L = 75, C = 55)

slide-26
SLIDE 26
  • First •Prev •Next •Last •Go Back •Full Screen •Close •Quit

A Slice Through LUV Coordinates (L = 85) The circle has radius 35.

slide-27
SLIDE 27
  • First •Prev •Next •Last •Go Back •Full Screen •Close •Quit

A Six Colour Palette (L = 85, C = 35)

slide-28
SLIDE 28
  • First •Prev •Next •Last •Go Back •Full Screen •Close •Quit

72 73 74 75 76 77 78 79 80 81 82 83 84 85 Fall Summer Spring Winter

Computer Science PhD Graduates

Year Students 5 10 15 20 25 30

Equispaced colours, full circle (after Foley and Van Dam).

slide-29
SLIDE 29
  • First •Prev •Next •Last •Go Back •Full Screen •Close •Quit

72 73 74 75 76 77 78 79 80 81 82 83 84 85 Fall Summer Spring Winter

Computer Science PhD Graduates

Year Students 5 10 15 20 25 30

Equispaced colours, half circle (after Foley and Van Dam).

slide-30
SLIDE 30
  • First •Prev •Next •Last •Go Back •Full Screen •Close •Quit

72 73 74 75 76 77 78 79 80 81 82 83 84 85 Fall Summer Spring Winter

Computer Science PhD Graduates

Year Students 5 10 15 20 25 30

Metaphorical colours (after Foley and Van Dam).

slide-31
SLIDE 31
  • First •Prev •Next •Last •Go Back •Full Screen •Close •Quit

72 73 74 75 76 77 78 79 80 81 82 83 84 85 Fall Summer Spring Winter

Computer Science PhD Graduates

Year Students 5 10 15 20 25 30

Cool colours (after Foley and Van Dam).

slide-32
SLIDE 32
  • First •Prev •Next •Last •Go Back •Full Screen •Close •Quit

72 73 74 75 76 77 78 79 80 81 82 83 84 85 Fall Summer Spring Winter

Computer Science PhD Graduates

Year Students 5 10 15 20 25 30

Warm colours (after Foley and Van Dam).

slide-33
SLIDE 33
  • First •Prev •Next •Last •Go Back •Full Screen •Close •Quit

Conclusions and Further Work

  • There is a simple recipe which can be used to choose colours

for display graphics.

  • No special expertise is required to apply the recipe and it

generally produces pleasing results.

  • The ideas here apply only to the filling of areas in

presentation graphics.

  • It is likely that there are additional ideas of balance which

apply to the drawing of lines and glyphs.

  • This is the subject of further study.