Automated 3D Scanning Viewpoint Planning for Measurement Accuracy
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Manual adjustment of camera position and posture in three-dimensional scanning leads to low measurement accuracy and a time-consuming process due to reliance on technician experience, resulting in repeated or missed measurements.
Innovation Solution
A method and device for planning three-dimensional scanning viewpoints, which involves acquiring a low-precision digitalized model of the object, performing viewpoint planning calculations on point cloud data using a preset algorithm, and determining target viewpoint information including position and direction for a three-dimensional sensor, thereby automating the scanning process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual adjustment of camera position and posture is used, then the measurement process can be completed with simple equipment, but the measurement accuracy decreases and the process becomes time-consuming
Solution Approach 1:
The patent replaces the manual mechanical adjustment system with an automated computer-controlled system. The viewpoint planning algorithm automatically calculates optimal camera positions and postures, and the positioning system executes these calculations mechanically, substituting human operation with automated computational and mechanical control.
Solution Approach 2:
The patent performs preliminary viewpoint planning calculations before the actual measurement process. The system pre-calculates the optimal sequence of camera positions and postures based on the target object's geometry, allowing the measurement process to proceed efficiently without real-time decision-making delays.
2Reliability
If manual adjustment of camera position and posture is used, then the equipment complexity remains low, but the measurement accuracy and reliability decrease
Solution Approach 1:
The system performs self-planning of measurement viewpoints by automatically analyzing the target object's three-dimensional model and generating its own measurement plan. The viewpoint planning algorithm enables the system to serve itself by determining optimal camera positions without external human intervention, improving reliability through consistent automated decision-making.
Solution Approach 2:
The patent introduces a computer-based viewpoint planning algorithm as an intermediary between the operator and the measurement system. This intermediary processes the target object data and generates optimized measurement plans, mediating between simple operation requirements and complex measurement needs.
3Productivity
If automated viewpoint planning is implemented, then measurement efficiency improves, but the device complexity increases
Solution Approach 1:
The viewpoint planning system is designed to be universal and adaptable to different measurement scenarios. The algorithm can handle various target object types and measurement requirements through a single integrated system, achieving high productivity without requiring multiple specialized devices for different tasks.
Data Source
AI summary
Disclosed in the embodiments of the present disclosure are a method for planning three-dimensional scanning viewpoint, a device for planning three-dimensional scanning viewpoint and a computer readable storage medium. After a low-precision digitalized model of an object to be scanned is acquired, viewpoint planning calculation is performed, on the basis of a viewpoint planning algorithm, on point cloud data in the low-precision digitalized model, and then the positions and line-of-sight directions of a plurality of viewpoints in space are calculated when a three-dimensional sensor needs to perform three-dimensional scanning on said object. Calculating viewpoints of a three-dimensional sensor by means of a viewpoint planning algorithm can effectively improve the accuracy and scientific nature of sensor posture determination, greatly improving the efficiency of viewpoint planning, and reducing the time consumed in the whole three-dimensional measurement process.