{"id":67484,"date":"2021-10-10T23:40:06","date_gmt":"2021-10-11T03:40:06","guid":{"rendered":"https:\/\/courses.ideate.cmu.edu\/15-104\/f2021\/?p=67484"},"modified":"2021-10-10T23:40:06","modified_gmt":"2021-10-11T03:40:06","slug":"lo-06-random-computational-art","status":"publish","type":"post","link":"https:\/\/courses.ideate.cmu.edu\/15-104\/f2021\/2021\/10\/10\/lo-06-random-computational-art\/","title":{"rendered":"LO 06: Random Computational Art"},"content":{"rendered":"\n

While looking for examples of random art on google, something that came up was “Scott Pakin’s Random Art Generator.” In this webpage, the user is able to toggle a few settings in order to create a randomly generated image. They have the ability to adjust the canvas size, the complexity, the color model, and whether they equalize color or not. By adjusting these, the computer then generates a unique image of random color, lines, and shapes. The outcome of the graphics mostly stick to being a similar style, as seen below, but they do change with the inputs you give them. I admire that the engineer of this website is able to create an algorithm that can produce these unique images. I think the algorithm they use is similar to the one that we use in class where colors are generated within a specific random set and so are graphics\/canvas size.<\/p>\n\n\n\n

Name: Scott Pakin’s Random Art Generator
Link: https:\/\/www.pakin.org\/random-art\/<\/a><\/p>\n\n\n\n