Media Arts and Technology

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3D Visualization

3D Visualization

Postby rluo » Tue Jan 02, 2018 6:10 pm

In this assignment, we are exploring interactive 3D volumetric visualization.

Use the full capabilities of 3D where each x,y,z location represents data. You may map data directly into 3D space based on the 4 datasets, or explore clustering algorithms as a means of organizing the data in 3D space.

Feb 15: Work-in-Progress
Feb 22: Project is Due

Query
Your query will need to have minimum 4 columns for x,y,z location and then to color or scale the pixel/voxel. Your MySQL query should be more complex then previous ones and cross the full spectrum of the database. As usual, you are expected to come up with an interesting question that will give interesting results! Your query should use MySQL syntax that goes beyond those presented in the demos, and the query should go for granular detail, so mapping main Dewey categories will not be sufficient, nor fulfill the expectation of an interesting query. "Change over Time", correlating data, or spatially distributing data based on algorithms can be interesting to explore. The important thing is that the x,y,z location of where the data is placed should have meaning.

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Libraries to use:
3D spatial navigation and interactivity is introduced using the PeasyCam library: http://mrfeinberg.com/peasycam/

ControlP5 is a GUI and controller library that includes functions like Sliders, Buttons, Toggles, Knobs, Textfields, RadioButtons, etc. http://www.sojamo.de/libraries/controlP5/

OpenGL (Open Graphics Library), a cross-platform graphics interface is used in this demo. Translate, pushmatrix, popmatrix functions are introduced. Information about push, pop and translation can be found at:
https://www.processing.org/tutorials/transform2d/
http://processing.org/tutorials/p3d

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Now that we have acquired all the necessary skills, the

EVALUATION CRITERIA will be the following:

Innovation in content : your query question and outcomes. How original, engaging, unusual, your query, or your approach to the query may be, and how interesting the data may be. The data has to be multivariate, and granular (meaning a lot of data) so that we can see patterns forming in the data.

Innovation in design/form : The design needs to go beyond our demos. Areas of exploration are in how you use space, form, colors, data organization, timing, interaction, coherence, elegance, etc.

Edward Tufte’s “Visual Display of Quantitative Information” https://www.amazon.com/Visual-Display-Q ... 1930824130 is a classic reference

https://www.edwardtufte.com/tufte/

Computation : The third evaluation is the computational component. First of all, the code needs to work. Special consideration will be for unusual, elegant expression, utilizing functions, algorithms, etc that you can introduce to the class.
rluo
 
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