Projection System Image Blending Source Selection
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Solution Overview
Problem
Existing projection systems face challenges in maintaining seamless image blending due to environmental influences or failures of image capturing devices during automatic blending processes, leading to issues with image overlap and reduced brightness.
Innovation Solution
A projection system comprising multiple projection devices and image capturing devices, where a processor drives each projection device to project a pattern and captures the results, selecting the most effective image capturing device for blending based on grid point coverage to ensure seamless integration and backup activation in case of failures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple image capturing devices capture images simultaneously during projection blending, then the system can select from multiple sources for redundancy, but the processing time increases and blending stability decreases due to environmental influences
Solution Approach 1:
The system performs preliminary actions by having image capturing devices capture reference images before the actual projection blending process. These reference images are captured in advance and stored for later comparison and blending calculations, eliminating the need for real-time image capture during the blending process and thus reducing processing time while maintaining stability
Solution Approach 2:
The system uses reference images captured by image capturing devices as copies of the projection environment. These reference images are then used for blending calculations instead of requiring real-time image capture, effectively copying the necessary visual information in advance to avoid time-consuming real-time processing
2Loss of information
If all image capturing devices capture projection patterns continuously, then the system has sufficient data for blending calculations, but the number of captured images increases processing complexity and time
Solution Approach 1:
The system extracts only the necessary reference images from the set of captured images. Instead of processing all images captured by multiple devices, the processor selectively extracts and uses only those reference images that are needed for blending calculations, reducing the volume of data to be processed while maintaining sufficient information for accurate blending
Solution Approach 2:
The system applies partial action by having image capturing devices capture images only at specific moments when projection patterns are displayed, rather than continuously. This selective capture approach provides sufficient reference data for blending calculations while significantly reducing the total number of images that need to be processed
3Area of stationary object
If the system uses multiple projection devices simultaneously, then the projection coverage area increases, but image overlap causes brightness increase and signal blurring
Solution Approach 1:
The system uses feedback from reference images captured by image capturing devices to calculate and determine the precise projection ranges of each projection device. This feedback information is then used to adjust and optimize the projection blending, ensuring that overlapping areas are properly blended to maintain uniform brightness and clear signals across the entire projection coverage area
Data Source
AI summary
A projection system and a method for selecting an image capturing number for image blending are provided. Multiple projection devices are driven one-by-one to project a pattern; multiple image capturing devices are driven to capture the pattern projected by each projection device, so as to obtain multiple image capturing results corresponding to the image capturing devices. Finally, at least one of the image capturing devices is selected to serve as an image capturing source for image blending based on the image capturing results. An image capturing range is identified through projected patterns, and an effective range is calculated and then selected for use, which is used for calculations required for automatic blending, so as to avoid a problem of being unable to maintain blending and merging due to environmental influences or failure of the image capturing device when performing image recognition and calculation required for automatic blending and merging.