Procedural Modeling: Synthesizing Complex Functions

This lecture introduces Perlin noise as a tool to generate structured noise functions by manipulating amplitude and frequency. By combining different frequencies, one can create more intricate procedural models, resembling natural phenomena like mountain terrains. The instructor demonstrates how to enhance the realism of these models by progressively adding finer scale details and altering the noise function's properties. Additionally, the lecture explores alternative techniques such as using the absolute value of the noise function to achieve different visual effects. Practical applications of these methods include designing textures efficiently for computer graphics, showcasing examples of textures mimicking natural patterns like marble and wood.