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Visual thinking colin_ware_lectures_2013_2_flow_visualization
 

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    Visual thinking colin_ware_lectures_2013_2_flow_visualization Visual thinking colin_ware_lectures_2013_2_flow_visualization Presentation Transcript

    • Representing Flow Colin Ware UNH
    • We can do better than this
    • 2D vector fields  Vector components   Direction Magnitude Orientation Vector sign bit
    • 2D Flow visualization • A landmark study Orient Direction Magnitude - Image courtesy of Dr.Laidlaw et al.
    • Perceptual issues  Luminance contrast for detail   Red on green is hard to see (illustrate) Natural semantics for signalling “more” Longer  Wider  More dense  More contrasty  More vivid The background is critical 
    • Particle systems for flow vis.   Particles are born (randomly in space) Have a behavior (moving with the flow)     They leave a trail (a pathline) Color can change (with speed or age) Width can change (speed or age) Particles die
    • elements of form form 1 color 3 2& A 4 B 4 4C rs 5 e 6 lay al tic or c movement color color differences elements of movement
    • Theory of contour finding Contour finding mechanisms A single column in V1 Field Hayes Hess
    • The next stage – rapid propagation Prediction Weakest Contour Signal Strongest Contour Signal
    • 2D Flow visualization • A landmark study Orient Direction Magnitude - Image courtesy of Dr.Laidlaw et al.
    • How to add VSB? Halle, 1868 Asymmetry along path Terminations Some neurons respond only with terminations in the receptive field. Halle’s “little stroaks” Fowler and Ware (1988)
    • Important factors     Continuity tangential to flow sream Lightness contrast with background (clarity) Show direction using asymmetry along path Use color width | length | contrast | density for speed, or a combination   Add symbols if you like Trace forward and/or backward.
    • A real challenge
    • Many sliders