Projection Image Correction for Rectangular Display on Irregular Surfaces
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Solution Overview
Problem
Existing projection systems struggle to maintain a clear rectangular image projection on irregular surfaces when viewed from different positions, failing to correct distortions in real-time as users move around.
Innovation Solution
A system and method that uses a mobile terminal and a projector with image correction processing units to calculate and apply correction information using weighted means, ensuring a rectangular image projection on undulating surfaces by projecting a measurement image, imaging it from multiple points, and applying deformation calculations to correct the projected image in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a projector projects an image onto an irregular surface, then the image can be displayed on the surface, but the image becomes distorted and cannot maintain a clear rectangular shape when viewed from different positions
Solution Approach 1:
The system performs preliminary calibration by projecting a measurement image onto the irregular surface and capturing it from multiple positions. Correction information is calculated in advance based on these captured images, establishing a mapping relationship between the irregular surface coordinates and the rectangular display coordinates before actual projection occurs.
Solution Approach 2:
The system uses captured images from multiple positions as feedback to calculate correction information. The measurement image is captured from different viewpoints, and this feedback is used to compute the distortion correction parameters, which are then applied to subsequent projections to maintain rectangular shape.
2Measurement precision
If correction information is calculated by capturing images from multiple positions, then accurate correction can be achieved, but the process requires additional time and complexity
Solution Approach 1:
The calibration process is performed in advance to pre-calculate and store correction information. Once the mapping relationship is established during calibration, subsequent projections can use the pre-computed correction parameters without requiring real-time capture and calculation, thus reducing operational time.
Solution Approach 2:
The system creates a digital model (copy) of the irregular surface geometry through the measurement image capture and processing. This digital representation stores the spatial relationship information, allowing fast retrieval and application of correction parameters without repeating the complex capture and calculation process each time.
3Ease of operation
If real-time correction is implemented, then users can view the image clearly while moving, but the system complexity increases
Solution Approach 1:
The complex correction calculation is performed in advance during calibration rather than in real-time during projection. The system pre-computes the mapping relationship between the irregular surface and rectangular display coordinates, storing the correction information for rapid application during actual viewing, thus reducing real-time processing requirements.
Solution Approach 2:
The system introduces an intermediary correction information layer that mediates between the irregular surface geometry and the rectangular display output. This correction information acts as a pre-computed transformation map, simplifying the real-time projection process by providing ready-to-apply correction parameters without complex on-the-fly calculations.
Data Source
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AI summary
A projection control apparatus includes at least one processor or a control processing unit, and a communication unit. The control processing unit obtains a first captured image captured at a first point and a second captured image captured at a second point differing from the first point via the communication unit, obtains first correction data from the first captured image and second correction data from the second captured image, obtains first position data at the first position, second position data at the second point, and third position data at a third point differing from the first and second points, determines third correction data corresponding to the third point using the first correction data, the second correction data, the first position data, the second position data, and the third position data, and corrects a projected image to be projected by a projector based on the third correction data.