THESIS | COLOR SPACE: FROM IMAGE TO OBJECT

Woodbury School of Architecture

ARCH 431 - Spring 2023

Instructor | Mark Ericson

“Color Space: From Image to Object” is a project that examines the role of images in architectural production. The research began with a deep study of Josef Alber’s theory and book ‘Interaction of Color’ and translate its methods into a software plugin for Rhinoceros 3D written in the programming language of Python. This project challenges the dominance of the architectural drawings by developing a software for producing three-dimensional objects from two-dimensional images based off a design methodology specifically using color. The software uses the properties of color associated with each pixel in an image, along with user inputs, to generate a three-dimensional object. While architecture continues to prioritize the drawing above all other media, this project proposes a way to shape architecture through the process of taking an image, its pixels, and the colors, and transforming them into architectural forms and spaces. The software serves as the thesis project, and the images and objects are products created by other users of the software tool. Color Space is a collaborative tool for the production of architecture from images, incorporating AR and VR to provide users with a fully immersive experience of their designed products.

Link to access Plug-In : https://github.com/azec23/ColorSpace_Plugin

Color space - in action

This video describes the process of Color Space with its precedents, ideas, and its functions. Towards the end of the video you will experience one of the outcomes and how it can become a world with Augmented Reality(AR).

These are a variety of outcomes from different people using Color Space with their own inputs and images.

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Studio 09 - Italy | The Study of the Old with the New