Multipath Panorama Alignment Using Multiple Rotation Matrices

The patent divides the panorama stitching process into multiple independent paths (left path and right path), each with its own rotation matrix. Instead of using a single rotation matrix for the entire panorama, the system segments the stitching operation into separate transformations for different image regions, allowing each region to be stitched optimally without forcing a uniform transformation across the whole image.

The patent applies different rotation matrices to different parts of the panorama image. The left path uses a first rotation matrix while the right path uses a second rotation matrix, allowing each region to have its own optimized transformation parameters. This local differentiation enables better stitching quality in regions with small parallax while maintaining simplicity in the overall stitching architecture.

The patent segments the image processing into distinct left path and right path, where each path is processed independently with its own rotation matrix. This segmentation allows the system to handle the parallax characteristics of different regions separately, preventing the mixing of small and large parallax images that would degrade 3D feature quality.

By assigning different rotation matrices to the left and right paths, the patent ensures that each region is transformed according to its specific parallax characteristics. This local quality approach preserves the 3D feature integrity by avoiding the forced uniform transformation that would occur if all images were stitched together with a single rotation matrix.

The patent segments the alignment algorithm into independent modules for left and right paths. Each path has its own rotation matrix calculation and application, which simplifies the overall algorithm structure compared to a single complex unified transformation. The segmentation allows for modular implementation and easier debugging while achieving better stitching quality.

The patent changes the transformation parameters from a single fixed rotation matrix to multiple path-specific rotation matrices. This parameter differentiation enables the system to adapt to different parallax characteristics in different regions, improving stitching quality while maintaining algorithmic simplicity through straightforward parameter substitution rather than complex adaptive algorithms.