Paper
31 December 2013 High-accuracy 3D measurement system based on multi-view and structured light
Mingyue Li, Dongdong Weng, Yufeng Li, Longbin Zhang, Haiyun Zhou
Author Affiliations +
Abstract
3D surface reconstruction is one of the most important topics in Spatial Augmented Reality (SAR). Using structured light is a simple and rapid method to reconstruct the objects. In order to improve the precision of 3D reconstruction, we present a high-accuracy multi-view 3D measurement system based on Gray-code and Phase-shift. We use a camera and a light projector that casts structured light patterns on the objects. In this system, we use only one camera to take photos on the left and right sides of the object respectively. In addition, we use VisualSFM to process the relationships between each perspective, so the camera calibration can be omitted and the positions to place the camera are no longer limited. We also set appropriate exposure time to make the scenes covered by gray-code patterns more recognizable. All of the points above make the reconstruction more precise. We took experiments on different kinds of objects, and a large number of experimental results verify the feasibility and high accuracy of the system.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mingyue Li, Dongdong Weng, Yufeng Li, Longbin Zhang, and Haiyun Zhou "High-accuracy 3D measurement system based on multi-view and structured light", Proc. SPIE 9042, 2013 International Conference on Optical Instruments and Technology: Optical Systems and Modern Optoelectronic Instruments, 90420N (31 December 2013); https://doi.org/10.1117/12.2037470
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Cited by 1 scholarly publication.
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KEYWORDS
Cameras

Clouds

Projection systems

Synthetic aperture radar

Skull

Visualization

3D metrology

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