A DualSLS for Efficient 3D Scanning of Dynamic Objects Structured lightbased 3D sensing techniques has been an important means for 3D digitization of real objects. However, to obtain a complete 3D model of target, multiple scans are demanded and that makes the operation timeconsuming. In this paper, an efficient 3D scanning system is introduced, which is composed of two structured light sensors. The two sensors are placed in opposite directions, and the target is placed between them. With a single scan operation, two point clouds can be obtained and aligned by the proposed system calibration parameters. For some objects with relative simple geometry like human hands, a complete 3D model can be obtained via single scan. But regarding to complex targets, by changing the target orientation several times and using the proposed point cloud registration method, complete 3D model can be obtained more efficiently. Experiments with different objects are implemented to verify feasibility and accuracy of the proposed method.

Highly Reflective Surface Measurement Based On Dual Stereo Monocular Structured Light System Fusion 3D surface measurement plays an important role in robotics. In this paper, we provide a highly reflective surface measurement method based on combination of dual stereo monocular structured light system fusion. A predetermined rigid transformation matrix is utilized to improve fusion quality for the fusion area. Moreover, a final decision map is created to avoid the reconstruction of repeating regions of left and right system for ensuring the accuracy of the nonfusion area to achieve monocular system accuracy. The validity and accuracy of our algorithm are verified by designed experiments. Furthermore, various complex objects are measured including a metal surface, a phone case and a motor component, which show the proposed method has the capability to solve the highly reflective surface measurement problem and the occlusion problem.