3D Model Reconstruction for Deformable Objects via Depth Image Segmentation

The patent divides the depth images into multiple groups based on linking information that records location information of substructures. Each group corresponds to a specific substructure, allowing independent processing and reconstruction of different parts of the object. This segmentation enables the system to track and reconstruct deformable objects accurately by maintaining correspondence between substructures across different time points, thereby resolving the contradiction between using a single camera (low cost) and achieving accurate reconstruction (high precision).

The patent handles dynamic changes in object appearance during the shooting period by using linking information to track substructures across different time points. The system dynamically updates the reconstruction by maintaining the correspondence relationships between substructures, allowing accurate reconstruction of deformable objects even when their appearance changes during the scanning process. This dynamic approach enables single-camera systems to achieve model accuracy comparable to multi-camera systems.

The patent segments the depth images into groups corresponding to different substructures, allowing a single camera to capture and process different parts of the object at different time points. By using linking information to track substructure locations, the system achieves the spatial coverage and accuracy normally requiring multiple simultaneous cameras, but with the cost advantage of using only one camera. The segmentation enables temporal substitution for spatial multiplication.

The patent transitions from a spatial approach (multiple cameras simultaneously capturing the object) to a temporal approach (single camera capturing the object at different time points). By adding the time dimension and using linking information to track substructures across time, the system achieves the reconstruction accuracy of multi-camera systems while using a single camera, effectively substituting temporal data for spatial data.

The patent segments the object into substructures and groups depth images accordingly, using linking information to track the location of each substructure across different time points. This segmentation enables the system to maintain structural alignment by processing and reconstructing each substructure independently while maintaining their spatial relationships, thereby achieving accurate reconstruction with simple single-camera hardware. The segmentation compensates for the lack of simultaneous multi-view data by organizing temporal data into spatially coherent groups.

The patent uses linking information as feedback to track and correct structural alignment issues. The linking information records the location information of substructures across different time points, providing feedback that enables the system to detect and correct misalignment. This feedback mechanism allows the single-camera system to maintain structural coherence by continuously tracking and adjusting the reconstruction based on the recorded substructure positions, thereby achieving high precision without complex hardware.