Dual surface structured light vision system based on multidimensionalparameter coding

Abstract

A dual surface structured light vision system based on the theory of multidimensional parameter coding is proposed in this paper that can provide a new high-performance and adaptive encoding robot vision perception system. Specifically, the dual surface structured light consists of an auxiliary light source and a principal structured light. Scene images from the auxiliary structured light determine the parameters of the principal structured light. The vision process system can adaptively encode the principal structured light according to types and numbers of parameters. The image formed by the encoded principal structured light can reflect the depth change details of the target object and guide the robot to locate the target object quickly and accurately. The simulation and industrial experiments show that the dual surface structured light vision system has wider application scenarios and higher accuracy than the traditional structured light vision system. According to different industrial scenes, the positioning accuracy of the vision system can reach 0.1 mm to 20 μm in 0.8 s.