Projection Mapping Calibration Using Feature-Point Feedback
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing projection mapping calibration methods require significant professional labor and on-site adjustments, leading to increased costs and potential errors due to changing conditions, making accurate alignment of projected images on buildings challenging.
Innovation Solution
A system and method utilizing an image capturing device and processor to automatically calculate feature points and generate projection mapping calibration based on difference values, enabling computer vision-based calibration without human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If on-site professionals perform manual adjustments of the projected image, then the projection image can be aligned with building edges and corners, but a large amount of professional labor is required and costs increase
Solution Approach 1:
The patent replaces manual mechanical adjustment operations with an automated computer vision system. The image capturing device captures images of the projection target, the processor automatically calculates feature points and generates calibration data, eliminating the need for professional operators to manually adjust the projected image while maintaining high alignment accuracy
Solution Approach 2:
The system enables self-service calibration by automatically capturing images, calculating feature points, and generating projection mapping calibration data without requiring professional operators. The computer vision system performs the entire calibration process autonomously, reducing both labor requirements and operational complexity
2Manufacturing precision
If manual on-site adjustment operations are performed, then projection image alignment can be achieved, but errors may occur due to changing on-site projection conditions
Solution Approach 1:
The patent implements a feedback mechanism where the image capturing device captures the actual projection target, the processor calculates feature points from these captured images, and uses this real-time visual feedback to generate accurate calibration data. This closed-loop approach ensures that the calibration reflects the actual on-site conditions, improving both accuracy and reliability
Solution Approach 2:
The system performs preliminary capture of the projection target image and calculation of feature points before generating the final calibration data. This preliminary action allows the system to account for changing on-site conditions and adjust the calibration accordingly, reducing errors that would occur with static pre-calculated alignment data
3Productivity
If automated computer vision calibration is implemented, then professional labor and costs are reduced, but the system requires image capturing device and processor integration
Solution Approach 1:
The patent merges the image capturing device and processor into an integrated system where the processor is communicatively connected to the image capturing device. This combination allows the system to automatically capture images and process them for calibration without requiring separate manual operations, thereby improving productivity while managing integration complexity through unified system architecture
Data Source
AI summary
A projection mapping calibration system, method, and non-transitory computer readable storage medium thereof are provided. The system captures an image frame corresponding to a projection target object. The system calculates a plurality of feature points corresponding to the projection target object in the image frame. The system projects a light sculpting image onto the projection target object. The system captures a light sculpting image frame corresponding to the light sculpting image. The system calculates a plurality of light sculpting feature points corresponding to the projection target object in the light sculpting image frame. The system generates a projection mapping calibration corresponding to the light sculpting image based on a difference value of each of the feature points and the light sculpting feature points.