Multi-Projector Image Correction for Optical Shift Alignment
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Solution Overview
Problem
Existing multi-projection systems require manual adjustment of image shapes after optical shift, which is time-consuming and inefficient.
Innovation Solution
An image projection method that acquires and utilizes shape information to generate correction information for geometric correction, allowing automatic adjustment of image positions and shapes using multiple projectors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If optical shift is performed to change image position, then image position changes, but image shape distorts requiring manual adjustment
Solution Approach 1:
The system pre-acquires shape information indicating shapes of images at multiple positions on the projection surface in advance. When optical shift is performed, this pre-stored shape information is retrieved and used to automatically generate geometric correction information, eliminating the need for manual shape adjustment after position changes.
Solution Approach 2:
The system uses acquired shape information as feedback to automatically generate geometric correction information when optical shift occurs. The correction information is derived from the relationship between image position and shape deformation, enabling automatic compensation without manual intervention.
2Manufacturing precision
If manual adjustment is performed to correct image shape after optical shift, then image shape accuracy improves, but time and effort increase
Solution Approach 1:
The system performs self-correction by automatically generating geometric correction information based on pre-acquired shape information and current position data. The multi-projection system autonomously adjusts image shapes after optical shift without requiring user intervention, thereby reducing adjustment time while maintaining shape accuracy.
Solution Approach 2:
Shape information is acquired in advance for multiple image positions, creating a lookup table of shape-deformation characteristics. When optical shift occurs, the system quickly retrieves the appropriate correction information based on the new position, avoiding time-consuming manual adjustment processes.
3Stability of the object's composition
If geometric correction is applied to maintain image shape during optical shift, then image shape consistency improves, but system complexity increases
Solution Approach 1:
The system uses shape information acquired from one image position and applies it to correct images at other positions through geometric transformation. Instead of complex real-time measurement and correction systems, the patent copies shape characteristics from pre-acquired data and applies appropriate corrections based on position mapping.
Solution Approach 2:
The system maintains image shape consistency by changing geometric parameters based on pre-acquired shape information. When optical shift changes image position, the system retrieves corresponding shape correction parameters and applies them to maintain consistent image shapes across different positions without requiring complex hardware modifications.
Data Source
AI summary
An image projection method includes acquiring in advance first shape information indicating shapes of a first image at a plurality of positions of a projection surface in a case in which the first image is projected on each of the positions from a first projector, when a second projector is projecting a second image on a position overlapping at least a part of the first image on the projection surface, acquiring first information for moving the position of the first image on the projection surface, outputting second information for moving the position of the second image on the projection surface by a movement amount corresponding to the first information, and generating, based on the first shape information and the first information, first correction information for applying geometric correction corresponding to a position after the movement of the first image to the first image.