Point Cloud Vertex Decoding Across Multiple Trisoup Node Sizes

The patent segments the Trisoup decoding process into multiple stages corresponding to different node sizes. The approximate-surface synthesizing unit processes vertex information at multiple node size levels (e.g., 8, 4, 2), where each level refines the approximation. This segmentation allows the system to handle different node sizes systematically while maintaining manageable complexity at each stage.

The patent introduces dynamic node size handling by allowing the Trisoup process to operate at multiple node size levels rather than a fixed size. The system dynamically selects and processes different node sizes (e.g., transitioning from node size 8 to 4 to 2) based on the required precision and available data, making the encoding adaptable to different scenarios while managing complexity through structured progression.

The patent applies preliminary action by first decoding vertex information at a larger node size (e.g., node size 8) to generate an initial approximate surface. This preliminary approximation serves as a foundation for subsequent refinements at smaller node sizes (e.g., node sizes 4 and 2). By performing the coarse approximation first, the system reduces the overall processing complexity while enabling efficient multi-scale encoding that improves productivity.

The patent adds a dimensional aspect to the Trisoup process by introducing multiple node size levels as an additional dimension of processing. Instead of a single fixed node size, the system operates across a spectrum of node sizes (e.g., 8→4→2), creating a hierarchical structure that enhances encoding efficiency. This multi-dimensional approach allows the system to achieve better compression ratios and flexibility without proportionally increasing processing complexity.