Embedded Multi-View 3D Media Capture With Reduced Data Load

The patent segments the 3D model creation process into distinct phases: capturing multiple 2D images from different viewpoints, extracting feature points and matching them across images, constructing a sparse 3D point cloud, and finally generating the complete 3D model. This segmentation allows the system to achieve accurate 3D reconstruction without requiring dense depth maps for the entire scene, thereby reducing data complexity while maintaining manufacturing precision.

The patent transitions from 2D image data to 3D spatial representation by capturing images from multiple viewpoints and using triangulation geometry. Instead of relying on dense depth information in a single view, the system infers 3D structure by combining information from multiple 2D projections, effectively using dimensional transformation to achieve accurate 3D modeling with reduced data requirements.

The patent performs preliminary actions during the image capture phase by collecting multiple viewpoint images and pre-extracting feature points and descriptors. This preliminary processing organizes the data in a way that facilitates efficient 3D reconstruction later, reducing the computational burden during model generation and thereby improving productivity without sacrificing 3D model quality.

The patent uses 2D images captured from multiple viewpoints as copies of the 3D scene, and through feature matching and triangulation, reconstructs the 3D model. This approach avoids the need for complex polygon generation and texture mapping by directly deriving 3D geometry from 2D image copies, significantly reducing processing time and resource requirements while maintaining model accuracy.