Projection System Color and Shape Correction on Non-Flat Surfaces
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing projection technologies fail to accurately project distortion-free and color-corrected images on non-flat surfaces with irregularities and colored designs, such as curtains, due to assumptions based on flat screens.
Innovation Solution
A projection system that includes a digital camera and a projector connected via USB, which captures images of the projection area, performs initial measurements for color and shape corrections, and adjusts pixel correspondence data to ensure accurate color reproduction and geometric alignment, even on undulating surfaces with attentional characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If projection correction is performed based on initial measurement, then color and shape accuracy are improved, but the system cannot adapt to changes in projection conditions such as screen movement or deformation
Solution Approach 1:
The system continuously captures images of the projection screen and compares current projection positions with reference positions to detect changes in projection conditions. This feedback mechanism enables real-time adaptation when the screen moves or deforms, resolving the contradiction between maintaining measurement precision and adapting to changing conditions.
Solution Approach 2:
The system performs initial measurement to establish reference projection positions and characteristics before actual projection. This preliminary action creates a baseline that enables subsequent detection of condition changes and facilitates quick correction without requiring complete remeasurement, thus maintaining accuracy while enabling adaptability.
2Measurement precision
If complete remeasurement is performed frequently to maintain accuracy, then image quality is improved, but productivity and operational continuity deteriorate due to frequent interruptions
Solution Approach 1:
Instead of performing complete remeasurement frequently, the system performs partial checks by capturing images and comparing key projection positions against reference data. This partial action maintains sufficient image quality while minimizing interruptions, resolving the contradiction between measurement precision and productivity.
Solution Approach 2:
The continuous feedback mechanism monitors projection conditions and only triggers remeasurement when actual deviations exceed thresholds. This selective approach maintains image quality by correcting only when necessary, thereby preserving operational continuity and avoiding unnecessary interruptions.
3Measurement precision
If the system monitors and adjusts for all projection condition changes, then image accuracy is improved, but device complexity and processing requirements increase
Solution Approach 1:
The system focuses monitoring and correction efforts on critical projection positions and attentional characteristics rather than uniformly processing all projection areas. This localized approach maintains image accuracy by concentrating resources on key regions while reducing overall system complexity.
Solution Approach 2:
The system changes its monitoring strategy by comparing projection positions against stored reference characteristics rather than performing complete remeasurement. This parameter-based approach simplifies the monitoring process while maintaining accuracy, resolving the contradiction between image accuracy and device complexity.
4Measurement precision
If the system performs detailed color and shape correction, then projection quality on non-flat surfaces is improved, but the time required for setup and adjustment increases
Solution Approach 1:
The system performs detailed color and shape correction measurements in advance to establish reference characteristics for the specific projection screen. This preliminary detailed measurement enables subsequent quick adjustments by comparing against the pre-established reference, thus improving projection quality while reducing real-time setup time.
Solution Approach 2:
The system performs complete detailed correction only during initial setup, then uses partial monitoring and correction during operation. This approach achieves high projection quality through initial detailed work while minimizing time loss during normal operation by relying on the pre-established reference data.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
In an image processing apparatus, a characteristic acquisition unit acquires a characteristic of the projection object. A correction control unit determines a parameter in accordance with the characteristic and corrects an input image based on the parameter. A characteristic specifying unit specifies an attentional characteristic region based on the characteristic. A captured image acquisition unit acquires a captured image of a projection image. A change determination unit determines whether the attentional characteristic region changes by a predetermined amount or more from the input image and the captured image, causes the characteristic acquisition unit to acquire the characteristic if it is determined that the region changes, and redetermines to cause the correction control unit to produce a projection image.