A 3D reconstruction method for pipeline inspection based on multi-vision
| Autor: | Tian Zhang, Peng Jin, Tang Chengtong, Shaoli Liu, Jianhua Liu |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Engineering
Matching (graph theory) business.industry Applied Mathematics Pipeline (computing) 3D reconstruction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Process (computing) CAD 02 engineering and technology Condensed Matter Physics 01 natural sciences Image (mathematics) 010309 optics 0103 physical sciences 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Artificial intelligence Electrical and Electronic Engineering business Joint (audio engineering) Instrumentation Pose ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | Measurement. 98:35-48 |
| ISSN: | 0263-2241 |
| DOI: | 10.1016/j.measurement.2016.11.004 |
| Popis: | A fast and precise 3D reconstruction method for complex pipeline inspection is presented. The reconstruction process is divided into three phases based on multi-vision. A centerline matching and registration algorithm is proposed to achieve the branched and bended pipes’ reconstruction. The projected centerline of each pipe is split into several NURBS curves, and these curves are taken as the primitives of matching to be reconstructed and registered precisely. A pose estimation algorithm based on shape aspect graphs is proposed to achieve the joint’s reconstruction. The CAD model of each joint is used to obtain its shape aspect graphs as the templates which its edges image matches with. A pipeline multi-camera reconstruction system is established, and validation experiments are carried out. The results show that the proposed method completes a pipeline’s reconstruction within 5 min. The reconstruction errors of its pipes and joints are 0.24 mm and 0.496 mm respectively. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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