Rise and Shine
Model Approach:
Stage 1:
Stage one first creates an arched wall surface that has a dynamic shape. It then uses the uploaded sample image data to adjust the color of the squared panels created using the LunchBox Add-in. The surface is re-parametrized then the center point is assigned to each panel to assign a value 1-1 mapping from the image data to the panels.
I tried different sample images and found that really intricate designs with many variations in color were not best suited because the resolution could not be captured with the number of panels created. Even if I increased the panel number, the resolution improved much more but the loading time was way to slow. Therefore, I chose a middle ground with an image that showed cool wide variation of colors but could be modeled in the number of panels.
Parameters with dynamic properties:
- arc radius
- arc starting angle
- arc ending angle
- wall height ( extrusion)
- if desired, the u value of the panels, so the square panel size could change if the u input on the panel is altered, but the square shape would remain and the v dimension would alter to match
Stage 2:
Stage two first creates an sine serpentine wall surface that has a dynamic shape. It then uses the uploaded sample image data to adjust the “thickness” of the 4” by 8” panels created using the LunchBox Add-in from stage 1. The brightness values remapped to 0-1 values then remapped once more to the assigned range of 4” to 36”. The brick thickness then ranges based on the brightness value mapped from the sample image to form the image on the panels based on dimension, not color unlike stage 1.
Parameters with dynamic properties:
- wall length
- wall height (extrusion)
- wall wave number
- wall wave amplitude
- if desired, the panel input for brick “thickness” can be adjusted from 4” to 36” to a new parameter domain