Introducing new Primatte AI technology, designed to accurately distinguish between the background and the foreground.
Primatte, a pioneer with three decades of expertise, has revolutionized its program by replacing the foundational "Polyhedron Slicing Method" algorithm. The new system, known as the "relief Patch Process" and "Pixel Adaptive Process," is designed to enhance green and blue screen image processing. Leveraging cutting-edge computing technologies, such as neighboring pixel inference and spill judgment through supervised machine learning, Primatte AI significantly advances chromakeying capabilities in both operational efficiency and image quality.
Full Automation
Utilizing state-of-the-art computer vision technology, Primatte AI conducts a pixel-level analysis of blue and green screen images to intelligently infer and produce the final composite outcome.
Pixel Adaptive Process
Primatte AI innovatively approaches the chromakey process by utilizing pixel-by-pixel calculations, rather than relying on traditional color space methods. This advanced technique applies precise key settings to each specific area of the foreground object. In contrast, conventional Primatte technology can result in a red object appearing with a yellow edge when keyed alongside a yellow object against a green screen.
Ultra-Fine Detail
Primate AI employs exclusive foreground and background blending technology that distinguishes itself from traditional alpha blending or additive mixing methods. This advanced approach ensures the preservation of intricate hair details, closely matching the backing color. Furthermore, our pixel-adaptive process effectively suppresses subtle background noise while still maintaining exceptional hair detail fidelity.
Additional Functions
- Mixer Mode
- Spherical Relief Parch Process
- Supervised learning for spill judgment
- Native many-core support
- Clean Plate Utilization
- Floating Point Calculation