Tag: graphics

Fractal drawing in Max

Fractal geometry with Jitter.

By Peter Elsea

Screen Shot 2015-02-23 at 11.14.14 AM

“Fractal geometry is the study of objects that have a property known as self- similarity – They are made up of smaller copies of the overall shape. One of the most popular is called the Sierpinski triangle”

The Max patches were developed (stolen) from Elsea’s lecture notes at http://peterelsea.com/Maxtuts_jitter/Fractals_in_Max.pdf. The first patch draws Sierpinski triangles. The second patch is generalized to circular shapes with N corners.

Screen Shot 2015-02-23 at 11.14.57 AM

download

https://github.com/tkzic/max-projects

folder: fractals

patches:

  • fractal1.maxpat (triangle)
  • fractal-n-corners.maxpat (N corners)
external dependencies

You will need to download Elsea’s Lobjects abstractions and add the path to Max in Options | File Preferences: http://peterelsea.com/lobjects.html

 

Random dots in Max

Draw random colored dots on a 2d plane.

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Dots are superimposed on a world map using the lcd object.

download

https://github.com/tkzic/max-projects

folder: random-oval-paint

patch: random-oval-paint.maxpat

additional files: worldMap.jpg

Instructions

Load the patch and click the toggle in the upper left corner to begin drawing. Number boxes allow you change rate and dot size. Click the purple “clear” message to start over.

 

ep-426 syllabus – Spring 2015

Interactive video programming and performance

Spring 2015

teacher: Tom Zicarelli – http://tomzicarelli.com

You can reach me at:  tzicarelli@berklee.edu

Office hours: Tuesday 1-2 PM, or Tuesday 4-5PM, at the EPD office #401 at 161 Mass Ave. Please email or call ahead.

Assignments and class notes will be posted to this blog: http://reactivemusic.net before or after the class. Search for: ep-426 to find the notes

Examples, software, links, and references demonstrated in class are available for you to use. If there is something missing from the notes,  please ask about it. This is your textbook.

Syllabus:

Everybody calls this course “The Jitter class” – referring to Max/MSP jitter from Cycling 74. You will learn to use Jitter. But the object is to create interactive visual art. Jitter is one tool of many available.

The field of interactive visual art is constantly evolving.

After you take the course, you will have designed projects. You might design a new tool for other artists. You will have opportunities to solve problems.  You will become familiar with how others make interactive art. You will explore the connection between sound, video, graphics, sensors, and data. You will be exposed to to a world of possibilities – which you may embrace or reject.

We will explore a range of methods and have opportunities to use them in projects. We’ll look at examples by artists – asking the question: How does that work?

Topics: (subject to change)

  1. Jitter
  2. Matrixes
  3. Reverse engineering
  4. Visualization of audio
  5. Visualization of live data, API’s
  6. Video analysis (realtime)
  7. Video hardware and controllers
  8. Prototyping
  9. Video signal processing
  10. OpenGL
  11. Other tools: Processing, WebGL, Canvas, 2d graphics
  12. Portfolios
  13. Live performance

Grading and projects:

Grades are based on two projects that you will design – and class participation. Please see Neil Leonard’s EP-426 syllabus for details. I encourage and will give credit for: collaboration with other students, outside projects, performances, independent projects, and anything else that will foster your growth and success.

I am open to alternative projects. For example, if you want to use this course as an opportunity to develop a larger project or continue a work in progress.

Reference material

https://cycling74.com/wiki/index.php?title=Max_Documentation_and_Resources

 

AARON

“A software program by artist Harold Cohen that creates original artistic images.”

http://en.wikipedia.org/wiki/AARON

Here are examples created by the 2001 Windows Screensaver version, formerly distributed by Kurzweil http://franz.com/success/customer_apps/artificial_intelligence/cohen.lhtml

By the artist: http://web.stanford.edu/group/SHR/4-2/text/cohen.html