3D Depth Measurement Using Boundary Line Inheritance

The patent applies preliminary action by detecting boundary lines at identical positions across multiple hierarchical layers before final depth calculation. The system预先 detects boundary lines in each layer, then uses inheritance to refine and consolidate these detections, ensuring accurate boundary identification even when individual layer detections are compromised by poor radiance or surface reflectance variations.

The patent implements feedback through the boundary line inheritance mechanism, where boundary line detection results from upper layers are used to guide and refine detection in lower layers. The system continuously refines boundary line positions by comparing and inheriting information across layers, creating a feedback loop that improves detection accuracy in challenging lighting conditions.

The patent merges boundary line detection across multiple layers by implementing an inheritance mechanism that combines detection results from upper and lower layers. Instead of treating each layer independently, the system merges boundary line information hierarchically, using upper layer boundaries to constrain and refine lower layer detections, thereby reducing decoding errors while maintaining manageable processing complexity.

The patent applies the nested doll principle by organizing boundary line detection in a hierarchical structure where upper layers contain and guide lower layers. Each layer's boundary detection is nested within the context of upper layer boundaries, creating a nested detection framework that improves reliability without requiring complete re-processing of all layers.

The patent uses feedback to maintain stability across layers by having each layer's boundary detection informed by upper layer results. The inheritance mechanism creates a feedback loop where upper layer boundaries provide constraints that guide lower layer detections, ensuring that local precision in each layer contributes to overall consistency rather than creating discrepancies between layers.

The patent applies local quality by allowing each layer to perform optimized local boundary detection suited to its specific characteristics, while the inheritance mechanism ensures these local optimizations maintain global consistency. Each layer can detect boundaries with local precision while the hierarchical inheritance framework ensures these local results contribute to stable, consistent overall boundary definition.