Projection Image Rotation Correction via Surface Normal Detection

The system performs preliminary detection of the projection surface's three-dimensional shape and calculates the normal direction before projecting the final image. By acquiring measurement data and determining the surface orientation in advance, the system can pre-calculate the appropriate rotation angle and apply correction to the projection image, ensuring the image is displayed in the correct orientation without requiring complex real-time adjustment mechanisms.

The system uses a sensor to detect the three-dimensional shape of the projection surface and feeds this information back to the image adjustment process. By continuously monitoring the surface geometry and normal direction, the system can dynamically adjust the projection image parameters to maintain proper alignment and orientation, preventing rotation issues while keeping the overall system relatively simple.

The system replaces complex mechanical adjustment mechanisms with computational methods. Instead of using physical components to mechanically adjust and align the projection image, the system uses software-based image processing and parameter calculation to achieve precise alignment. The information processing apparatus calculates the necessary adjustments based on sensor data and applies digital transformations to the projection image, eliminating the need for complex mechanical alignment systems.

The system achieves precise projection image alignment by dynamically changing parameters such as the projection angle, image orientation, and distortion correction factors. Based on the detected three-dimensional surface shape and normal direction, the system calculates optimal parameter values and applies transformations to the projection image, enabling high-precision alignment without adding physical complexity to the device structure.