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MAT 256 Visual Processes

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MAT 256 Visual Design through Algorithms. MAT 256 Visual Processes ... MAT 256 Visual Design through Algorithms. Evaluation. The project can be open ended ... – PowerPoint PPT presentation

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Title: MAT 256 Visual Processes


1
MAT 256 Visual Processes
  • Lecture 2 Interdisciplinary Processes

2
Main Features of the Course
  • Focus on basic methods of signal processing as
    source material for experimentation
  • MAT is about interdisciplinarity hybridization
    through conversation
  • What can the engineer and artist gain from each
    other?
  • Both are exposed to paradigms outside of their
    disciplines
  • The engineer gains flexibility in experimentation
  • The artist learns the methods of systematic
    analysis

3
Scientific Paradigms for the Artist
  • Scientific model to explore physical phenomena
  • Acquiring systematic scientific approach
  • Ability to transpose systems from the scientific
    to the artistic
  • Source-mining In search of a new aesthetic

4
Bricoleur/Engineer (Levi-Strauss)
  • Engineer designs buildings which have to be
    stable and have little or no play
  • (the engineer has to create stable systems or his
    role is at stake)
  • Top-down implementation
  • Bricoleur uses what's available to get a
    particular job done
  • (doesn't care about the purity or stability of
    the system s/he uses)
  • Building by trial and error rather than based on
    theory
  • Valueing tinkering as an inventive process
  • Evolve from the bottom-up

5
Project Topics Directions
  • Explore physical phenomena related to perception
  • Measuring signals and their expression
  • Noise randomness
  • Translation between aural visual signals

6
Rules Methods
  • Define a concept, a method, proceed, and evaluate
    results
  • May purely focus on process
  • Sequence step question-answer experimentation
    method
  • Not to illustrate, but to arrive at outcome that
    embodies and reflects an understanding
  • Allow phenomena to express itself
  • Simple methods can lead to complex result

7
What are Interesting Results?
  • When the outcome challenges normal expectations
  • When the outcome is somehow greater then the
    input
  • When something is revealed
  • When phenomena can lead to poetics (Demarinis
    fireflies, 1989)
  • When pheonmena can creat culture (Demarinis
    raindance, 1998)

8
Evaluation
  • The project can be open ended
  • The process must be documented
  • There must be some evolution from start to end
  • Online project documentation (http//bsjeon.net/TR
    RE/participate.htm)

9
Examples
  • DeMarinis green light, umbrella
    http//www.well.com/7Edemarini/
  • Jeff Han http//mrl.nyu.edu/jhan/ (interesting
    problem of Artist/engineer)
  • marie sester http//www.sester.net/index_enhanced
    .html
  • Ned Kahn http//nedkahn.com/
  • Luc Courschene http//www.panoscope360.com/
  • ACM multimedia conference CD http//acmmm05.comp
    .nus.edu.sg/artprogram.htm
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