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Indexed by:期刊论文

Date of Publication:2018-02-01

Journal:IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Included Journals:SCIE、EI

Volume:67

Issue:2

Page Number:394-405

ISSN No.:0018-9456

Key Words:3-D date registration; dynamic coded point; machine vision; matrix conversion; time parameter; transformation matrix optimization

Abstract:Field measurement of large aviation components is important in many fields of study. In this paper, a global data registration method based on the dynamic coded points is proposed. The system used in this method contains the local and global control binocular measurement systems. The local binocular measurement system measures the data of each subdomain as the local measurement data by scanning. The dynamic coded points, which are encoded based on time parameter as their encoded values, are projected to the measured object's surface using a projector. Two sets of systems acquire the dynamic coded points to calculate their encoded values and match them automatically. These systems calculate the transformation relations between the local coordinate system and the global control coordinate system, so the local measurement data coordinates are integrated into the global control coordinate system through the transformation relations, achieving the global data registration. Experimental results in the laboratory show that the process of matching of dynamic coded points is accurate and has high robustness, and the global registration method based on the coded points proposed by this paper can eliminate the accumulated error, reaching the precision of 0.0150%. Field experimental results show that the registration method proposed in this paper satisfies the measurement requirements of large-scale aviation components.