AR Index Calibration via Capture Count Feedback
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Solution Overview
Problem
Current methods for calculating the position and orientation of indices in augmented reality (AR) systems are labor-intensive and prone to errors, requiring manual measurement and multiple image captures, with limited feedback on image acquisition status, leading to inefficient index calibration.
Innovation Solution
An image processing apparatus and method that acquires images of indices, identifies and registers index information, manages capture counts, and displays status to facilitate efficient calculation of index positions and orientations, using a system comprising an acquisition unit, registration unit, management unit, display unit, and calculation unit to streamline the process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual measurement and multiple image captures are used to calculate index positions and orientations, then measurement precision is improved, but productivity deteriorates due to labor-intensive operations
Solution Approach 1:
The system provides real-time feedback by displaying the number of captured images for each index on the display unit. This feedback mechanism guides the operator on how many more images need to be captured for each index, enabling informed decision-making and reducing unnecessary manual operations while maintaining measurement precision
Solution Approach 2:
The management unit automatically tracks and manages the capture count for each index without requiring manual intervention. The system self-updates the capture status and provides guidance information, reducing the operator's cognitive load and manual tracking work while preserving accurate measurement capabilities
2Measurement precision
If manual measurement methods are used for index calibration, then measurement precision can be maintained, but ease of operation deteriorates due to complex procedures
Solution Approach 1:
The management unit acts as an intermediary between the image capturing process and the operator. It automatically manages capture counts, tracks which indices have been sufficiently captured, and presents this information through the display unit, simplifying the operator's task while maintaining measurement precision through systematic data management
Solution Approach 2:
The system replaces manual tracking and counting mechanisms with automated electronic management. The management unit electronically tracks capture counts and provides digital feedback, eliminating the need for manual note-taking and mental tracking, thereby simplifying operations while preserving measurement accuracy
3Measurement precision
If multiple images are captured for each index to improve accuracy, then measurement precision is improved, but loss of time increases due to repeated capturing
Solution Approach 1:
The display unit provides real-time feedback on the capture count for each index, enabling the operator to efficiently determine when sufficient images have been captured. This feedback prevents both under-capturing (which would reduce precision) and over-capturing (which would waste time), optimizing the balance between accuracy and time efficiency
Solution Approach 2:
The management unit prepares and presents guidance information in advance, showing the operator how many more images are needed for each index before the operator captures additional images. This preliminary information preparation reduces unnecessary trial-and-error capturing and accelerates the overall calibration process while maintaining precision requirements
Data Source
AI summary
By applying identification processing to each index included in a captured image, a set of an identifier, image coordinates, and an image number is acquired for each index, and the acquired set is registered in a data saving unit. The data saving unit manages the numbers of times of previous identification for respective identifiers. A display unit displays the number of times managed in association with an identifier in a set to be registered every time the set is registered. An index position and orientation calculation unit calculates the positions and orientations of indices corresponding to a set group using the set group registered in a memory.