CPSC 583 Colour. Sheelagh Carpendale

Similar documents
CPSC / Colour

CPSC 583 Colour. Sheelagh Carpendale

Color in Information Display RIT Seminar October 5, 2005

IAT 355 Visual Analytics. Luminance, Contrast and Colour in Information Display. Lyn Bartram

Colour + Perception. CMPT 467/767 Visualization Torsten Möller. Pfister/Möller

A Brief Plug. Color in Information Display. Color includes Gray. Information Display. Color In Information Display, SIAT 1/24/2006

Color. Maneesh Agrawala Jessica Hullman. CS : Visualization Fall Assignment 3: Visualization Software

Goals for this Course. Color in Information Display. What this Course is Not. Effective Color. Why Should You Care? What makes color effective?

CSE512 :: 6 Feb Color. Jeffrey Heer University of Washington

What creates good color design?

Contrast, Luminance and Colour

COLOR AS A DESIGN ELEMENT

Color Theory. Additive Color

CSE 332/564: Visualization. Fundamentals of Color. Perception of Light Intensity. Computer Science Department Stony Brook University

Hue is what makes a color identifiable and different from any other color, e.g. orange, red-orange, red.

Colors in Images & Video

LECTURE 07 COLORS IN IMAGES & VIDEO

Color and Color Model. Chap. 12 Intro. to Computer Graphics, Spring 2009, Y. G. Shin

excite the cones in the same way.

Color Theory and Mixing

Geography 360 Principles of Cartography. April 24, 2006

Slide 1. Slide 2. Slide 3. Light and Colour. Sir Isaac Newton The Founder of Colour Science

Marks + Channels. Large Data Visualization Torsten Möller. Munzner/Möller

GRAPHICS TECHNOLOGY II

Color Perception and Applications. Penny Rheingans University of Maryland Baltimore County. Overview

COLOR Cartographic Design & Principles Winter 2016

The Color Wheel is a visual representation of color theory. It is the color spectrum wrapped onto a circle.

check it out online at

The basic tenets of DESIGN can be grouped into three categories: The Practice, The Principles, The Elements

Elements and Principles

Understand brightness, intensity, eye characteristics, and gamma correction, halftone technology, Understand general usage of color

Figure 1: Energy Distributions for light

CUT the wheel vertically IN HALF: WARM (right) AND COOL COLORS (left)

Elements Of Art Study Guide

Chapter Objectives. Color Management. Color Management. Chapter Objectives 1/27/12. Beyond Design

Effective Color: Materials. Color in Information Display. What does RGB Mean? The Craft of Digital Color. RGB from Cameras.

DESIGNING FLOWER BEDS with

COLOR and the human response to light

EnvSci 360 Computer and Analytical Cartography

Comp/Phys/Apsc 715. Example Videos. Administrative 1/23/2014. Lecture 5: Trichromacy, Color Spaces, Properties of Color

Reading. Foley, Computer graphics, Chapter 13. Optional. Color. Brian Wandell. Foundations of Vision. Sinauer Associates, Sunderland, MA 1995.

Image and video processing (EBU723U) Colour Images. Dr. Yi-Zhe Song

color basics theory & application Fall 2013 Ahmed Ansari Communication Design Fundamentals

LIGHTIG FOR INTERIORS

CS 544 Human Abilities

Value. Value-It is the lightness or darkness of an object, regardless of color. Value is relative to the background color and other items on the page.

Color Science. What light is. Measuring light. CS 4620 Lecture 15. Salient property is the spectral power distribution (SPD)

What is Color. Color is a fundamental attribute of human visual perception.

Properties of Color. Value: Tint: Shade: Tone: Intensity:

Part I: Color Foundations The Basic Principles of COLOUR theory

THE MEANING OF COLOR VISUAL COMMUNICATION III 3D DESIGN PRINCIPLES

University of British Columbia CPSC 314 Computer Graphics Jan-Apr Tamara Munzner. Color.

CS 565 Computer Vision. Nazar Khan PUCIT Lecture 4: Colour

Choose Paint Colors and Schemes

CIE tri-stimulus experiment. Color Value Functions. CIE 1931 Standard. Color. Diagram. Color light intensity for visual color match

COLOR. and the human response to light

Our Color Vision is Limited

Reading for Color. Vision/Color. RGB Color. Vision/Color. University of British Columbia CPSC 314 Computer Graphics Jan-Apr 2013.

Adapted from the Slides by Dr. Mike Bailey at Oregon State University

For a long time I limited myself to one color as a form of discipline. Pablo Picasso. Color Image Processing

Additive. Subtractive

Color Wheel. Warm Colors. Cool Colors

Victor Ostromoukhov Université de Montréal. Victor Ostromoukhov - Université de Montréal

Multimedia Systems and Technologies

Designing Flower Beds with Colors

Color, Vision, & Perception. Outline

H10: Description of Colour

Notes on colour mixing

Color & Graphics. Color & Vision. The complete display system is: We'll talk about: Model Frame Buffer Screen Eye Brain

The Principles of Chromatics

Lecture 8. Human Information Processing (1) CENG 412-Human Factors in Engineering May

Color theory Quick guide for graphic artists

COLOR PLANNING FOR INTERIORS JOSHIMA V.M., UON.

Color Science. CS 4620 Lecture 15

Introduction to Color Theory

ARTS D Design. Project 1: Art Elements. Reading Guide: form. elements of art. line. shape. value. texture. color. principles of organization

Digital Image Processing

Color Image Processing. Gonzales & Woods: Chapter 6

Understanding Color Theory Excerpt from Fundamental Photoshop by Adele Droblas Greenberg and Seth Greenberg

CMPSCI 670: Computer Vision! Color. University of Massachusetts, Amherst September 15, 2014 Instructor: Subhransu Maji

PERCEPTUALLY-ADAPTIVE COLOR ENHANCEMENT OF STILL IMAGES FOR INDIVIDUALS WITH DICHROMACY. Alexander Wong and William Bishop

University of British Columbia CPSC 414 Computer Graphics

Spectral colors. What is colour? 11/23/17. Colour Vision 1 - receptoral. Colour Vision I: The receptoral basis of colour vision

Art & Design visual elements

Lecture 3: Grey and Color Image Processing

Introduction. The Spectral Basis for Color

To discuss. Color Science Color Models in image. Computer Graphics 2

Horace A picture is worth a thousand words. Napoleon Bonaparte A work of art is the unique result of a unique

Choosing your colour. A personal choice for sure, but

UBT128X Colour theory

Image Processing for Mechatronics Engineering For senior undergraduate students Academic Year 2017/2018, Winter Semester

Introduction to Color Science (Cont)

Computer Graphics Si Lu Fall /27/2016

With colours you can set a mood, attract attention, or make a statement. You can use colour to energise, or to cool down. By selecting the right

Visual Perception. Jeff Avery

OPTO 5320 VISION SCIENCE I

Multimedia Systems Color Space Mahdi Amiri March 2012 Sharif University of Technology

NEWTONIAN COLOR THEORY

H30: Specification of Colour, Munsell and NCS

Art Vocabulary Assessment

Transcription:

CPSC 583 Colour Sheelagh Carpendale References Colin Ware. (2004) Information Visualization: Perception for Design. Morgan Kaufmann. Maureen Stone. (2003) A field guide to digital color. AK Peters Bernice E. Rogowitz and Lloyd A. Treinish. (1996) How Not to Lie with Visualization. Computers In Physics 10(3), pp 268-273. http://www.research.ibm.com/dx/proceedings/pravda/truevis.ht m C. Brewer. (1999) Color use guidelines for data representation. http://www.personal.psu.edu/faculty/c/a/cab38/colorsch/asapa per.html Andrew Glassner (1995) Principles of Digital Image Synthesis. Morgan Kaufmann Publishers. 1

Effective Colour Aesthetics Perception Materials Illustrators, cartographers Artists, designers A few scientific principles From: M. Stone What is Colour? Physical World Visual System Mental Models Lights, surfaces, objects Eye, optic nerve, visual cortex Red, green, brown Bright, light, dark, vivid, colorful, dull Warm, cool, bold, blah, attractive, ugly, pleasant, jarring Perception and Cognition From: M. Stone 2

Physical World Spectral Distribution Visible sbelight Power vs. wavelength Any source Direct Transmitted Reflected Refracted From A Field Guide to Digital Color, A.K. Peters, 2003 Colour The Retina photoreceptors: rods and cones neurons (receptive fields): intermediate neural layers image processing http://school.discovery.com/homeworkhelp/worldbook/atozpictures/lr001100.html http://www.ccrs.nrcan.gc.ca/ccrs/eduref/sradar/chap2/c2p2_g2e.html 3

Cone Response Encode spectra as three values Long, medium and short (LMS) Trichromacy: only LMS is seen Different spectra can look the same From A Field Guide to Digital Color, A.K. Peters, 2003 Effects of Retinal Encoding All spectra that stimulate the same cone response are indistinguishable Metameric match 4

http://www.cs.brown.edu/exploratories/freesoftware/repository/edu/brown/cs/expl oratories/applets/spectrum/metamers_guide.html [PDF] Elements of Color Perception - Metamerism Chromaticity Diagram 5

RGB Chromaticity R,G,B are points (varying lightness) Sum of two colors lies on line Gamut is a triangle White/gray/black near center Saturated colors on edges Display Gamuts From A Field Guide to Digital Color, A.K. Peters, 2003 6

Projector Gamuts From A Field Guide to Digital Color, A.K. Peters, 2003 Opponent Colour Definition Achromatic axis R-G and Y-B axis Separate lightness from chroma channels First level encoding Linear combination of LMS Before optic nerve Basis for perception Defines color blindness 7

Colour Blindness Simulates color vision deficiencies Web service or Photoshop plug-in Robert Dougherty and Alex Wade www.vischeck.com Deuteranope Protanope Tritanope http://www.vischeck.com/examples/ Colour Blindness normal protanope tritanope deuteranope http://colorvisiontesting.com 8

Genes in Vischeck 2D Colour Space 9

Smart Money 10

Colour Blindness small-field tritanopia Colour Addition computer monitors red, green, and blue absence all three colors gives black, all three gives white. Colour Subtraction printers ink cyan, magenta, and yellow absence all three colors gives white, all three gives black. 11

Colour Paint primary tertiary secondary Perceptual Color Spaces Unique black and white Uniform differences Perception & design Lightness Colorfulness Hue 12

Munsell Atlas Courtesy Gretag-Macbeth Color Appearance 13

Color Appearance colour constancy colour perception 14

Color Appearance More than a single color Adjacent colors (background) Viewing environment (surround) Appearance effects Adaptation Simultaneous contrast Spatial effects Color in context Color Appearance Models Mark Fairchild surround background stimulus Simultaneous Contrast Add Opponent Color Dark adds light Red adds green Blue adds yellow These samples will have both light/dark and hue contrast 15

Bezold Effect http://web.missouri.edu/~hoarda/colortheory/syllabus/projects/bezold_effect/bezold_effect.html http://web.missouri.edu/~hoarda/colortheory/syllabus/projects/be zold_effect/bezold_effect.html http://www.sapdesignguild.org/resources/optical_illusions/contrast ild / / ti l ill i / t t _phenomena.html 16

Spreading Spatial frequency The paint chip problem Small text, lines, glyphs Image colors Adjacent colors blend Redrawn from Foundations of Vision Brian Wandell, Stanford University 17

What makes colour effective? Good ideas executed with superb craft E.R. ER Tufte Effective colour needs a context Immediate vs. studied Anyone vs. specialist Critical vs. contextual Culture and expectations Time and money Why Should You Care? Poorly designed colour is confusing Creates visual clutter Misdirects attention Poor design devalues the information Visual sophistication Evolution of document and web design Attractive things work better Don Norman 18

Information Display Graphical presentation of information Charts, graphs, diagrams, maps, illustrations Originally hand-crafted, static Now computer-generated, dynamic Colour is a key component Colour labels and groups Colour scales (colourmaps) Multi-variate colour encoding Colour shading and textures And more www.nps.gov Color includes Gray Maps courtesy of the National Park Service (www.nps.gov) 19

Colour Design Goals Highlight, emphasize Create regions, group Illustrate depth, shape Evoke nature Decorate, make beautiful Colour harmony successful color combinations, i whether h these please the eye by using analogous colors, or excite the eye with contrasts. Principles of Color Design, by Wucius Wong Colour Design Terminology Hue (colour wheel) Red, yellow, blue (primary) O l ( d ) Orange, green, purple (secondary) Opposites complement (contrast) Adjacent are analogous Many different colour wheels* *See www.handprint.com for examples Chroma (saturation) Intensity or purity Intensity or purity Distance from gray Value (lightness) Dark to light Applies to all colours, not just gray 20

Tints and Tones Tone or shade Hue + black Decrease saturation Decrease lightness Tint Hue + white Decrease saturation Increase lightness Colour Hi-Key/Low Key Colours choosing a value range another way to unify Hi-Key colour schemes tints of colours (paler) bright, cheerful. Low-Key colour scheme. Shades (tones) of colours (darker) subdued gloomy mysterious 21

Gradations Colour Colour Triads color scheme composed of three colours ou spaced equally apart on the colour wheel tend to be uncomfortable good visual distinction Primary colours form one triad ( red, blue, yellow). Secondary colours (orange, green, purple) 22

Maximum hue separation Colour Analogous Colours colours next to each other on the colour wheel with a common hue the common hue creates a feeling of unity in the design 23

Analogous, yet distinct Colour Complementary Colors Complementary colors are opposite each other on the color wheel two pure complementary hues placed next to each other attract attention 24

Colour Split Complements two colors on either side of its complement are used together. similar to complementary colors offers a little more variety to work with Colour Warm and Cool Colours two specific sets of analogous colours. Cool blue, green and purple cold, icy feeling Warm red, orange and yellow warm, sunny feeling. When used together cool colours seem to move away warm colours move towards 25

Colour Monochromatic Colors shades, tints t and tones of only one color. causes an immediate unifying or harmonious effect. all parts of the design have something in common, pulls it all together. Sequential 26

Colouring categorical data limited number readily distinct (spatially separate colour patches) think about selection, association, and adjacent distinction Ware s maximally discriminable colours 27

Colour Design Principles Control value (lightness) Ensure legibility Avoid unwanted emphasis Use a limited hue palette Control colour pop out Define colour grouping Avoid clutter from too many competing colours Use neutral backgrounds Control impact of colour Minimize simultaneous contrast Envisioning Information avoiding catastrophe becomes the first principle in bringing color to information: Above all, do no harm. E. R. Tufte www.edwardtufte.com 28

Fundamental Uses To label To measure To represent or to imitate reality To enliven or decorate To Label 29

Colour Cross-cultural naming Appearance of colour names in languages around the world (Berlin and Kay 1969) Colour Opponent Process Theory - continued Many lines of scientific evidence worth examining Naming Cross-Cultural naming Unique Hues Neurophysiology Categorical colours 30

Color Names Basic names (Berlin & Kay) Linguistic study of names Similar names Similar evolution Many different languages Distinct colors = distinct names? Perceptual primaries black white gray red green blue yellow orange purple brown pink Distinct, but hard to name 31

Color Names Research Selection by name Berk, Brownston & Kaufman, a 1982 Meier, et. al. 2003 Image recoloring Saito, et. al. Labels in visualization D Zmura, Cowan (pop out conditions) Healey & Booth (automatic selection) Web experiment Moroney, et. al. 2003 World Colour Survey (Kay & Cook) http://www.icsi.berkeley.edu/wcs/ Identify by Color Information Visualization Colin Ware 32

Product Categories Created by Tableau - Visual Analysis for Databases TM Categorizing data by colour 22 colours, only ~8 distinguishable 33

Categorizing data by colour 22 colours, only ~8 distinguishable Grouping, Highlighting 34

Considerations for Labels How critical is the colour encoding? Unique specification or is it a hint? Quick response, or time for inspection? Is there a legend, or need it be memorized? Contextual issues Are there established semantics? Grouping or ordering relationships? Surrounding shapes and colours? Shape and structural issues How big are the objects? How many objects, and could they overlap? Need they be readable, or only visible? Controls and Alerts Aircraft cockpit design Quick response Critical information and conditions Memorized 5-7 unique colors, easily distinguishable Highway signs Quick response Critical but redundant information 10-1515 colors? Typical color desktop Aid to search Redundant information Personal and decorative How many colors? 35

Psychophysics of Labeling Preattentive, pop out 13579345978274055 24937916478254137 23876597277103866 19874367259047362 95637283649105676 32543787954836754 56840378465485690 Time proportional to the number of digits 13579345978274055 24937916478254137 23876597277103866 19874367259047362 95637283649105676 32543787954836754 56840378465785690 Time proportional to the number of 7 s 13579345978274055 24937916478254137 23876597277103866 19874367259047362 95637283649105676 32543787954836754 56840378465785690 Both 3s 3 s and 7 s 7s Pop out Contrast Creates Pop-out Hue and lightness Lightness only 36

Pop-out vs. Distinguishable Pop-out Typically, y, 5-6 distinct values simultaneously Up to 9 under controlled conditions Distinguishable 20 easily for reasonable sized stimuli More if in a controlled context Usually need a legend To Measure 37

Heat maps Brewer Scales Nominal scales Distinct hues, but similar emphasis Sequential scale Vary in lightness and saturation Vary slightly in hue Diverging scale Complementary sequential scales Neutral at zero 38

Thematic Maps US Census Map Mapping Census 2000: The Geography of U.S. Diversity Brewer s Categories Cynthia Brewer, Pennsylvania State University 39

Colour Brewer www.colorbrewer.org Colour and Shading Shape is defined by lightness (shading) Colour (hue, saturation) labels CT image (defines shape) PET color highlights tumor Image courtesy of Siemens 40

Multivariate Colour Sequences Multi-dimensional Scatter plot Variable 1, 2 X, Y Variable 3, 4, 5 R, G, B Do people interpret colour blends as sums of variables? Using Color Dimensions to Display Data Dimensions Beatty and Ware 41

Colour Weaves 6 variables = 6 hues, which vary in brightness Additive mixture (blend) Spatial texture (weave) Weaving versus Blending (APGV06 and SIGGRAPH poster) Haleh Hagh-Shenas, Victoria Interrante, Christopher Healey and Sunghee Kim Brewer System http://www.colorbrewer.org 42

Brewer Examples To Represent or Imitate Reality 43

Illustrative Color Gray s Anatomy of the Human Body www.bartleby.com/107/illus520.html Map of Point Reyes www.nps.gov ThemeView (original) Courtesy of Pacific Northwest National Laboratories 44

ThemeScape (commercial) Courtesy of Cartia To Enliven or Decorate 45

Which has more information? Which would you rather look at? Visualization of isoelectron density surfaces around molecules Marc Levoy (1988) More Tufte Principles Limit the use of bright colors Small bright areas, dull backgrounds Use the colors found in nature Familiar, naturally harmonious Use grayed colors for backgrounds Quiet, versatile Create color unity Repeat, mingle, interweave 46

Controlling Value Get it right in black & white Value Perceived lightness/darkness Controlling value primary rule for design Value defines shape No edge without lightness difference No shading without lightness variation Value difference (contrast) Defines legibility Controls attention Creates layering 47

Controls Legibility colorusage.arc.nasa.gov Legibility Drop Shadows Drop Shadow Drop shadow adds edge Primary colors on white Primary colors on white Primary colors on white Primary colors on white Primary colors on white Primary colors on white Primary colors on black Primary colors on black Primary colors on black Primary colors on black Primary colors on black Primary colors on black 48

Readability If you can t use color wisely, it is best to avoid it entirely Above all, do no harm If you can t use color wisely, it is best to avoid it entirely Above all, do no harm. Why does the logo work? 49

Value Control Legibility and Contrast Legibility Function of contrast and spatial frequency u cto o co t asta dspata eque cy Psychophysics of Reading Legge, et. al. Legibility standards 5:1 contrast for legibility (ISO standard) 3:1 minimum legibility 10:1 recommended for small text How do we specify contrast? Ratios of foreground to background luminance Different specifications for different patterns 50

Contrast and Layering Value contrast creates layering Context Urgent Normal Normal Context Context Urgent Normal Normal Context Context Urgent Normal Normal Context colorusage.arc.nasa.gov What Defines Layering? Perceptual features Contrast (especially lightness) Color, shape and texture t Task and attention Attention affects perception Display characteristics Brightness, contrast, gamma Emergency Emergency Emergency 51

Grid Example Grid sits unobtrusively in the background Grid sits in foreground, obscuring map Great Grids: How and Why? (APGV06 and SIGGRAPH poster) Maureen Stone, Lyn Bartram and Diane Gromala Additional Resources Maureen Stone s website http://www.stonesc.com/vis06 A Field Guide to Digital Color A.K. Peters 52