Projector Calibration Module for Digital Camera Exposure
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Solution Overview
Problem
Commodity digital cameras struggle to produce high-quality image captures when used in systems for creating seamless displays from multiple projectors, as automatic exposure settings often fail to deliver sufficient quality, and manual configuration is time-consuming and error-prone due to varying exposure settings across images.
Innovation Solution
A calibration module that projects preview and exposure images, captures them with the digital camera, measures descriptive statistics of regions of interest, evaluates these statistics using a predetermined function, and iteratively adjusts exposure attributes to determine optimal settings for the camera, storing the final configuration for subsequent use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automatic exposure settings are used in commodity digital cameras, then ease of operation is improved, but image quality is insufficient for seamless display systems
Solution Approach 1:
The system performs self-calibration by automatically capturing test images, analyzing exposure quality metrics, and adjusting exposure settings without requiring manual intervention. The digital camera autonomously evaluates its own performance and optimizes settings for seamless display applications.
Solution Approach 2:
The calibration process is performed in advance before actual seamless display operations. Test images are captured and exposure settings are optimized beforehand, so that when the system is used for its intended purpose, the optimal settings are already in place.
2Manufacturing precision
If manual exposure configuration is performed to achieve satisfactory image quality, then image quality is improved, but time consumption and error rate increase
Solution Approach 1:
The system automatically performs the calibration process that would otherwise require manual configuration. The digital camera captures test images, the processor analyzes exposure metrics, and settings are adjusted automatically, eliminating the need for time-consuming manual trial-and-error configuration.
Solution Approach 2:
The system captures test images with current exposure settings, evaluates exposure quality metrics (such as histogram distribution, brightness uniformity, and dynamic range), and uses this feedback to automatically adjust settings. This closed-loop process ensures optimal image quality without manual intervention.
3Manufacturing precision
If exposure settings are manually adjusted for each image to maintain quality, then image quality is maintained, but productivity decreases due to repetitive adjustments
Solution Approach 1:
The system performs exposure calibration in advance and stores the optimized settings. These pre-determined settings are then automatically applied to all subsequent images captured for seamless display, eliminating the need for repeated manual adjustments and maintaining consistent quality across all images.
Solution Approach 2:
The calibration process establishes universal exposure settings that work across multiple images and scenarios. The settings are not image-specific but are general optimizations that apply to the seamless display function as a whole, improving productivity by eliminating per-image configuration.
4Device complexity
If commodity digital cameras are used in automated projector systems, then device complexity is reduced, but measurement precision of exposure settings is insufficient
Solution Approach 1:
A calibration module acts as an intermediary between the simple commodity digital camera and the seamless display system. This module provides the sophisticated exposure analysis and optimization capabilities that the basic camera lacks, enabling precise measurement and adjustment of exposure attributes without requiring a complex camera system.
Data Source
AI summary
In an example embodiment, a calibration module in a projector platform establishes an initial configuration of settable exposure attributes for a digital camera. The calibration module projects a preview image onto a surface and captures the projection of the preview image with the digital camera and receives input from a user identifying regions of interest in the capture of the preview image. Next the calibration module projects an exposure image onto the surface. The calibration module then computes a final configuration of exposure attributes for the digital camera by iteratively: (a) capturing the projection of the exposure image with the digital camera; (b) measuring descriptive statistics relating to the color channels of pixels in the regions of interest in the capture of the exposure image; (c) evaluating the descriptive statistics with an evaluation function determined by a calibration process; and (d) establishing a revised configuration of exposure attributes.