Stereoscopic Depth Mapping Algorithm Corrects Distorted Perception

The patent applies dynamics by transitioning from fixed camera spacing to variable camera spacing that changes with depth. The system dynamically adjusts the horizontal separation between left and right camera positions based on the depth of objects in the scene, allowing closer objects to have larger disparities and farther objects to have smaller disparities. This dynamic adjustment resolves the contradiction by maintaining simplicity in the capture process while achieving accurate depth mapping through computational control of camera parameters.

The patent changes the parameter of camera separation distance from a fixed value to a variable parameter that depends on depth. By making the camera separation parameter depth-dependent, the system can maintain consistent depth perception across objects at different distances. This parameter change allows the system to preserve depth accuracy without complicating the physical capture process, as the variable spacing is implemented through computational algorithms rather than physical camera movement.

The system dynamically adjusts camera separation based on object depth, causing closer objects to have larger horizontal disparities and farther objects to have smaller disparities. This dynamic spacing correction eliminates the distortion where uniformly spaced objects appear to converge, while maintaining low device complexity by implementing the solution through computational algorithms rather than complex physical camera systems.

The patent replaces any potential mechanical system for variable camera positioning with computational algorithms. Instead of physically moving cameras at different positions, the system uses software to calculate and apply the appropriate disparities to image data, achieving the same effect with much lower device complexity while maintaining accurate depth perception.

The system changes the disparity parameter from a fixed value to a variable value that decreases with distance. By making disparity depth-dependent, the system automatically reduces the horizontal separation for distant objects, preventing excessively large disparities on small screens. This parameter change maintains processing efficiency by using straightforward computational formulas while eliminating viewer discomfort caused by inappropriate disparity values.

The patent applies local quality by making the disparity parameter different for different regions of the scene based on depth. Rather than applying a uniform disparity to all objects, the system assigns appropriate disparity values locally to objects at different distances, ensuring that each object receives the correct disparity magnitude for its position. This local differentiation eliminates viewer discomfort while maintaining efficient processing through localized computational adjustments.