Intelligent measurement method and system based on multi-view image acquisition and analysis
Through intelligent measurement methods and systems based on multi-view image acquisition analysis, using standard three-dimensional models and optimized and balanced automatic configuration of cameras and light sources, the problem of insufficient transferability of image acquisition configuration in the prior art is solved, and higher transferability is achieved.
CN119687791AActive Publication Date: 2025-03-25JIANGSU MAIBO INTELLIGENT TECH CO LTD
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Patent Information
- Application Number
- CN202411918039.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-25
- Publication Date
- 2025-03-25
- Estimated Expiration
- 2044-12-25
AI Technical Summary
Technical Problem
In the prior art, since the image acquisition configuration is manually configured, there is a problem of weak migration.
Method used
By providing intelligent measurement methods and systems based on multi-view image acquisition and analysis, a standard three-dimensional model and image acquisition angle tag are used to perform two-dimensional image slicing, an optimized balanced method is constructed, and the camera pixels, light source layout types and lighting control parameters are optimized, and the recommended configuration is output.
Benefits of technology
It realizes automatic selection of camera types and determination of acquisition control parameters, improving the migration ability of image acquisition.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention provides an intelligent measurement method and system based on multi-view image acquisition and analysis, and relates to the technical field of image processing, and the method comprises the steps: obtaining a standard three-dimensional model of a to-be-measured target; performing two-dimensional image slicing on the standard three-dimensional model to obtain monitoring view angle target size information; according to the minimum detectable expected size, the size tolerance information and the monitoring view angle target size information, an optimization balance formula is constructed; optimizing camera pixels, light source layout types and illumination control parameters, outputting a recommended camera model, a recommended light source layout type and recommended illumination control parameters when an optimization balance formula is satisfied, synchronously positioning a to-be-measured target, performing image acquisition through an optimization result, and constructing a comparison three-dimensional model; and comparing the three-dimensional model with the standard three-dimensional model to obtain an identification area which does not meet the dimensional tolerance information, and sending the identification area to the user side. The technical problem that in the prior art, due to the fact that configuration of image collection is manual configuration, mobility is poor is solved.
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