Croissance
Croissance (Growth) - late 2007 - is a set of two works made in collaboration with Marie Fontanelle, Seong Hye Hung and Aurélie Loffroy. We translate tree growth algorithms into computer generated drawings. My role in the group was to code the processing applets.
The first Processing sketch is inspired by a spiral. It is the most adequate and simplest representation of our logical model (presented below). A regular circular progression from a center. We added randomness in order to integrate an organic variant, present in nature.
In the second sketch, we have 5 independent points, each drawing a line. If a point meets an obstacle, it will seek out the easiest way to circumvent it. If this is not possible, it will choose a new starting position.
In these sketches it is interesting to observe the computer’s random generation tendencies. Even if we program using organic logic, we can still feel the computer’s limitations and rigidity. This is mostly due to its binary structure : a result has to be either true or false. There is no “maybe” or “chance percentage”.
About the model :
Cutting a tree trunk allows one to observe its circular recursive line pattern. When trees grow, they circumvent obstacles. Sometimes they even engulf obstacles (such as metallic structures for instance). This is why trees grow leaning towards dominant winds. One may suppose that a tree begins with a single cell in an empty space. The cell will divide following a spiral pattern, we can imagine this as the tree engulfs itself. This is our hypothesis on how these lines appear.
Ecole Supérieure d'Art d'Aix-en-Provence - 2007
The first Processing sketch is inspired by a spiral. It is the most adequate and simplest representation of our logical model (presented below). A regular circular progression from a center. We added randomness in order to integrate an organic variant, present in nature.
In the second sketch, we have 5 independent points, each drawing a line. If a point meets an obstacle, it will seek out the easiest way to circumvent it. If this is not possible, it will choose a new starting position.
In these sketches it is interesting to observe the computer’s random generation tendencies. Even if we program using organic logic, we can still feel the computer’s limitations and rigidity. This is mostly due to its binary structure : a result has to be either true or false. There is no “maybe” or “chance percentage”.
About the model :
Cutting a tree trunk allows one to observe its circular recursive line pattern. When trees grow, they circumvent obstacles. Sometimes they even engulf obstacles (such as metallic structures for instance). This is why trees grow leaning towards dominant winds. One may suppose that a tree begins with a single cell in an empty space. The cell will divide following a spiral pattern, we can imagine this as the tree engulfs itself. This is our hypothesis on how these lines appear.
Ecole Supérieure d'Art d'Aix-en-Provence - 2007