3D Measurement Reliability via Noise Characterization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing three-dimensional measurement techniques using the Space Coding method fail to accurately account for noise information, leading to measurement errors due to camera, object, and environmental noise, which affects the reliability of the measurement results.
Innovation Solution
A three-dimensional measuring apparatus and method that includes a projecting unit, a capturing unit, a deriving unit for noise information, a reliability calculating unit, and an acquiring unit, which calculates reliability based on noise information from the camera, object, and environment to improve measurement precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If noise information is not considered in measurement, then the measurement process is simple, but the reliability of measurement results deteriorates
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing noise information (camera noise, object noise, environmental noise) before actual measurement. The system performs calibration measurements to derive noise characteristics in advance, which are then used during real-time measurement to calculate reliability without adding complexity to the measurement process itself
Solution Approach 2:
The patent introduces reliability information as an intermediary element that mediates between raw measurement data and final results. By calculating reliability based on noise information and using it to weight or filter measurement results, the system resolves the contradiction by adding a computational layer that improves reliability without significantly increasing physical device complexity
2Measurement precision
If noise information is considered in measurement, then the accuracy of measurement results is improved, but the complexity of the measuring apparatus increases
Solution Approach 1:
The patent applies self-service by enabling the measurement system to automatically characterize its own noise properties through calibration measurements. The system performs self-diagnosis by measuring noise from camera, object, and environment, then uses this self-derived information to improve measurement accuracy without requiring external calibration equipment or complex additional hardware
Solution Approach 2:
The patent changes parameters by introducing reliability as a new parameter that quantifies measurement quality. By calculating reliability from noise information and using it to select or weight measurement results, the system improves accuracy through parameter-based decision making rather than through complex hardware modifications
3Reliability
If multiple noise sources are measured and considered, then the reliability of measurement is improved, but the time required for measurement increases
Solution Approach 1:
The patent applies preliminary action by performing noise characterization measurements in advance during a calibration phase. The camera noise, object noise, and environmental noise are measured and stored before actual measurement tasks, so that during real-time operation, the system can quickly retrieve pre-computed noise information and calculate reliability without time-consuming measurements
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution enables more reliable three-dimensional measurements by considering noise information, enhancing the accuracy and precision of the measured shape of objects by assigning reliability to each measuring point.
Implementation Method 1
using the principle of triangulation, by projecting a plurality of kinds of light patterns onto the object and capturing the object upon projection of each light pattern
Implementation Method 2
a camera 103 which captures a reflected pattern from the object 110
Data Source
AI summary
According to the invention, reliability is calculated in consideration of an uncertain error due to noise in three-dimensional measurement, thereby obtaining correct reliability as compared with a conventional technique. To achieve this, a three-dimensional measuring apparatus includes a projector which projects a striped light pattern onto an object, a camera which captures a reflected light pattern from the object onto which the striped light pattern is projected, and a calculation processing unit which executes various arithmetic operations. The calculation processing unit includes a noise calculating unit and a reliability calculating unit.