This invention describes a method for recognizing patterns within images. It works by first detecting a pattern, then transforming it using a complex mathematical technique called a Fourier-Mellin transform to create a unique signature that remains consistent even if the pattern is rotated or scaled. This signature is then compared to known patterns to identify it. The claims specifically narrow this process to patterns that are defined as curves or surfaces.
Why it matters: In 2000, the complex mathematical transformations required for this process were computationally intensive. Today, significantly increased processing power and advanced software libraries make implementing such sophisticated pattern recognition algorithms much more efficient and accessible.
AI gives you a few directions you could take this. Pick one, and we check whether your version is different enough to patent, then write the filing.
Reinvent this with AI