Multi-Camera Depth-Based Zoom Spatial Transform

The patent applies local quality by transitioning from a global transformation approach to a local, depth-aware transformation approach. Instead of applying a single transformation to the entire image, the system computes depth information for different regions and applies localized transformations that account for varying depth distances. This ensures that pixels from different depth planes are transformed appropriately, eliminating parallax-induced distortions while maintaining computational feasibility through region-based processing.

The patent applies preliminary action by performing depth-based spatial transformation on images from the second camera before switching occurs. The system pre-computes the transformation using depth information from the first camera's depth map, so that when the camera switch happens, the transformed image from the second camera already matches the spatial characteristics of the first camera. This preliminary transformation ensures a smooth, imperceptible transition that maintains preview stability during zoom operations.

The patent applies segmentation by dividing the image processing into distinct stages: first capturing depth information and generating a depth map from the first camera, then using this depth map to guide the transformation of the second camera's image. The system segments the computation into depth estimation, spatial transform calculation, and image transformation phases. This segmented approach enables precise depth-aware alignment while managing computational load through efficient use of the depth map for guiding transformations.