Paper
21 August 2014 Study of multi-cameras configuration in structured-light-based 3D shape measurement systems
Yingjie Zhang, Liling Ge
Author Affiliations +
Proceedings Volume 9233, International Symposium on Photonics and Optoelectronics 2014; 923307 (2014) https://doi.org/10.1117/12.2067202
Event: International Symposium on Photonics and Optoelectronics (SOPO 2014), 2014, Suzhou, China
Abstract
The optical measurement technique has been widely applied to detect large surface in product manufacturing for a variety of applications. However, due to some limitations, like the poor image resolution and low measurement speed, this approach is only applicable in the cases with lower requirements in measurement accuracy and speed. To address this difficulty, multiply-cameras based measurement system can be selected, and the selection of multiple cameras also is more economical solution for high image resolution required. However, how to determine the number of cameras and configure these cameras are important issues to avoid the dearth or redundancy of the data acquired. In this paper, a new approach is proposed to solve the layout of the cameras for a structured-light-based measurement system, where a virtual camera model is constructed and used for the determination of cameras’ numbers and locations. The viewports of the virtual cameras are used for the cameras’ arrangements and optimalization layout. The valid of proposed approach has been demonstrated by simulation experiments.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yingjie Zhang and Liling Ge "Study of multi-cameras configuration in structured-light-based 3D shape measurement systems", Proc. SPIE 9233, International Symposium on Photonics and Optoelectronics 2014, 923307 (21 August 2014); https://doi.org/10.1117/12.2067202
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Cameras

Imaging systems

3D metrology

Calibration

Image resolution

Spatial resolution

Projection systems

Back to Top