Automatic Tiling Projection via Image Capture and Range Division
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Solution Overview
Problem
Existing tiling projection systems require complex settings and calculations to ensure seamless image overlap between multiple projectors, making them cumbersome to implement and requiring precise tiling settings for effective display of a single large image.
Innovation Solution
An information processing apparatus that captures images of the projection surface with multiple projectors, determines the drawing range for each projector, divides the image into sections, and outputs specific image sections to each projector, allowing for automatic tiling projection without the need for manual settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual tiling settings and calculations are performed to ensure seamless image overlap between multiple projectors, then image alignment precision is improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The system automatically captures images of the projection surface, detects projector positions and projection areas, calculates drawing ranges, and divides images without requiring manual user input or settings. The apparatus performs self-calibration by imaging the actual projection surface and autonomously determining the optimal drawing range for each projector, thereby eliminating complex manual operations while maintaining high alignment precision.
Solution Approach 2:
The system performs preliminary actions by capturing images of the projection surface beforehand, pre-calculating the drawing ranges and image division boundaries based on detected projector positions, and preparing the tiling configuration in advance. This preliminary automatic setup eliminates the need for manual calculations and settings during actual operation, improving both ease of use and alignment accuracy.
2Ease of operation
If automatic image capture and range determination is implemented, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The information processing apparatus integrates multiple functions into a single system: it captures images of the projection surface, detects projector positions, calculates drawing ranges, divides images, and outputs processed images to respective projectors. By consolidating these functions into one multi-functional apparatus, the system achieves high automation while managing complexity through functional integration rather than multiple separate devices.
Solution Approach 2:
The system uses an imaging apparatus as an intermediary to capture the projection surface and provide visual information for automatic analysis. This intermediary component enables the information processing apparatus to automatically determine drawing ranges without requiring direct manual measurement or complex sensor arrays, simplifying the overall system architecture while maintaining automation capabilities.
3Manufacturing precision
If precise drawing range determination is performed based on captured images, then manufacturing precision is improved, but loss of time increases due to image processing
Solution Approach 1:
The system performs preliminary image capture and drawing range determination before actual projection begins. By pre-calculating the optimal drawing ranges based on captured images of the projection surface and detected projector positions, the system establishes accurate boundaries in advance, eliminating the need for time-consuming adjustments during operation while maintaining high precision.
Solution Approach 2:
The system uses feedback from captured images of the actual projection surface to automatically adjust and determine drawing ranges. By analyzing the visual feedback from the projection surface and projector positions, the system iteratively optimizes the drawing range calculations to achieve high accuracy without requiring multiple manual trial-and-error adjustments, thereby reducing overall processing time.
Data Source
AI summary
An information processing apparatus including one processor acquiring a first captured image by imaging projection surface wherein image light of a first projector is projected, acquiring second captured image by imaging projection surface on which image light of a second projector is projected, determining a first drawing range containing a drawing range in which a first image projected by the first projector is drawn and a drawing range in which a second image projected by the second projector is drawn based on the first captured image and the second captured image, drawing image in the first drawing range, dividing the image into a first image based on the drawing range in which the first image is drawn and a second image based on the drawing range in which the second image is drawn, outputting the first image to the first projector, and outputting the second image to the second projector.