CPSC 533C Static and Moving Patterns - PowerPoint PPT Presentation

About This Presentation
Title:

CPSC 533C Static and Moving Patterns

Description:

'Things that are close together are perceptually grouped together' ... Done incorrectly, results in 'wagon wheel effect' Vary attributes to make correlation easier. ... – PowerPoint PPT presentation

Number of Views:17
Avg rating:3.0/5.0
Slides: 27
Provided by: kende
Category:
Tags: 533c | cpsc | moving | patterns | static | wagon

less

Transcript and Presenter's Notes

Title: CPSC 533C Static and Moving Patterns


1
CPSC 533CStatic and Moving Patterns
  • Presented by Ken Deeter
  • Slides borrowed from Colin Wares PPT Slides

2
Gestalt Laws
  • Gestalt German for Pattern
  • Laws of pattern perception
  • Proposed mechanisms were wrong
  • Rules themselves still have value

3
Proximity
  • Things that are close together are perceptually
    grouped together
  • Rule Best way of emphasizing relationships
    between different data entities is to place them
    in proximity in a display.

4
Proximity example
5
Similarity
  • Similar elements (shape, color) are grouped
    together.
  • Combine with separable dimensions to assist with
    visual segmentation.
  • Rule Related visual elements should look similar

6
Similarity Example
7
Continuity
  • People are more likely to construct visual
    groupings out of elements that are smooth and
    continuous, rather than ones that contain abrupt
    changes in direction.
  • Implies connectedness, which is stronger than
    proximity. (pg 207 fig 6.8)
  • Rule use connections to show relations

8
Continuity Example
9
Connectedness Example
10
Symmetry
  • Symmetrical elements emphasizes a relationship.
  • Possible use use symmetry in an interface to
    emphasize similarity (figure 6.11 pg 209)
  • Rule Use symmetry to relate visual elements.

11
Symmetry Example
12
Closure
  • Humans tend to look for closed contours.
  • Closed contours segment visual space. Organizing
    using these segmented regions is stronger than
    proximity.
  • Common uses are Venn Diagrams or Application
    Windows
  • Rule Use closed regions to segment visual space,
    group smaller elements.

13
Closure Examples
14
Relative Size
  • Smaller components of a pattern tend to be
    perceived as objects.
  • See Figure 6.15 pg 212

15
Figure and Ground
  • What is foreground and what is background?
  • Combination of other laws to segment image into
    fg/bg

16
Contours
  • People see contours where they dont really
    exist.
  • Illusory contour (figure 6.18 pg 215)

17
Transparency
  • Transparency is perceived only when good
    continuity and color correspondence exists.

18
Overlap
  • Perception of overlapping textures depends on
    visual interference between two patterns

19
Perceptual Syntax
  • Various types of illustrations already contain
    syntax that uses Gestalt principles to code
    information.
  • Node-link graphs (fig 6.29 pg 226)
  • Geographical Maps (fig 6.30 pg 228)
  • TreeMap (fig 6.31 pg 229)

20
Patterns in Motion
  • Correspondence problem for motion to work,
    humans need to perceive correspondence of visual
    elements between different frames.
  • Limit motion of elements
  • Differentiate elements using shape/color/orientati
    on
  • Done incorrectly, results in wagon wheel effect

21
  • Vary attributes to make correlation easier.

22
Form and Contour in Motion
  • Visual elements can be classified based on
    differences in movement, with comparable
    precision to static attributes.

23
Moving Frames
  • Motion perception highly depend on context.
  • Examples
  • Synched moving dots (fig 6.34 pg 234)
  • Dot in Moving frame often perceived as dot
    moving instead of frame moving.

24
Causality
  • Perception of causality between two movements
    highly dependent on time between movements.
  • Some experimental results suggest 160ms as
    maximum time for perceiving causality between two
    motions
  • Can use specific motions to encode causal
    relationships in data.

25
Causality cont.
26
Animate Motion
  • Humans are very good at perceiving
  • Biological motion
  • Expressiveness in motion
Write a Comment
User Comments (0)
About PowerShow.com