Projector Calibration Using Multiple Auto-Calibration Images
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Solution Overview
Problem
Existing projector calibration methods face challenges in accurately associating positions in a projection image with those in a captured image, especially when fine patterns are used, leading to increased computational load and detection difficulties.
Innovation Solution
A projector system that uses multiple images for calibration with varying symbol arrangements, allowing for accurate association of positions without requiring fine symbols, and generates calibration data based on binary or grayscale captured images, reducing computational load and enhancing detection precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fine patterns are used in calibration images, then the accuracy of position detection can be increased, but the computational load becomes heavy and detection becomes difficult
Solution Approach 1:
The calibration image is divided into multiple regions with different symbol densities. Some regions contain fine symbols for high-precision calibration, while other regions contain coarse symbols for easier detection. This segmentation allows the system to achieve high position detection accuracy without requiring the entire image to use computationally intensive fine patterns throughout.
Solution Approach 2:
Different regions of the calibration image have different symbol characteristics tailored to their specific calibration needs. Regions requiring high precision use fine symbols, while regions where detection ease is prioritized use coarse symbols. This local quality approach optimizes the balance between detection accuracy and computational load by applying appropriate symbol complexity only where necessary.
2Measurement precision
If multiple calibration images with different symbol arrangements are used, then positions can be associated at multiple positions with high accuracy, but the calibration process complexity increases
Solution Approach 1:
The patent extends the calibration process from using a single calibration image to using multiple calibration images with different symbol arrangements. This adds a temporal dimension to the calibration process, where multiple images are captured and processed together. The multiple images provide redundant information that enables more accurate position association across different viewpoints and lighting conditions, outweighing the increased processing complexity.
Data Source
AI summary
A position detection portion of a projector detects an operation on a screen based on a captured image obtained by capturing the screen. A control portion executes a calibration in which positions in a projection image and positions in the captured image are associated with each other based on the captured image obtained by capturing the projection image projected by a calibration control portion based on auto calibration images in which marks for specifying positions are arranged. In addition, the calibration control portion executes the calibration based on the captured image corresponding to the plurality of auto calibration images which are different in arrangement states of the marks.