Projector Calibration Image Generation for Mark Detection
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Solution Overview
Problem
Existing projectors face challenges in calibration efficiency due to distortion of the position identifying mark in captured images, leading to failed detection and increased calibration time.
Innovation Solution
A projector system that generates a calibration image corresponding to the installation state, with marks having sides perpendicular to each other and positioned in corner portions, and adjusts the number of marks based on the interval, to improve detection accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a standard calibration image with position identifying marks is projected, then calibration can be performed, but the mark shape may be distorted in the captured image causing detection failure
Solution Approach 1:
The system performs preliminary acquisition of installation state information (projection surface position, imager position, optical axes) before generating the calibration image. This preliminary action allows the calibration image to be pre-adjusted according to the specific installation configuration, ensuring that marks are generated with shapes that will not be distorted when captured by the imager, thereby resolving the contradiction between calibration reliability and mark detection accuracy.
Solution Approach 2:
The system changes the parameters of the calibration image (mark shape, position, size) based on the acquired installation state information. By adjusting these parameters according to the specific geometric relationship between the projector and imager, the system ensures optimal mark detection in the captured image, resolving the distortion issue that causes detection failure.
2Productivity
If calibration is performed with distorted marks, then the process can proceed, but detection fails and calibration efficiency decreases
Solution Approach 1:
The system uses feedback from the installation state information (relative positions of projection surface and imager, optical axis orientations) to generate appropriate calibration images. This feedback mechanism ensures that the calibration image parameters are optimized for the specific setup, preventing detection failure and improving both calibration efficiency and reliability simultaneously.
3Measurement precision
If the calibration image is generated without considering installation state, then generation is simple, but mark detection accuracy is poor
Solution Approach 1:
The system performs preliminary acquisition of installation state information before calibration image generation. This preliminary action, while adding some complexity to the generation process, ensures high mark detection accuracy by tailoring the calibration image to the specific installation configuration.
Solution Approach 2:
The system dynamically changes calibration image parameters (mark shape, position, size) based on installation state information. This parameter adaptation improves mark detection accuracy while keeping the overall system manageable through automated parameter adjustment based on measured geometric relationships.
Data Source
AI summary
A projector includes an image projection section, an imager, a calibration processor that performs calibration, an information acquirer that acquires information on the state in which the projector is installed, and an image generator that generates a calibration image corresponding to the state in which the projector is installed, and the calibration processor causes the image projection section to project the calibration image generated by the image generator to perform the calibration.