Accurate and Robust Surface Measurement Using Optimal Structured Light Tracking Method

Abstract

SUMMARYStructured light vision systems are based on the fact that the pixel location of light in an image has a unique association with the object depth. However, their applications are mainly limited to the properties of the object surface and the lighting conditions. This paper presents a robust vision system for accurate acquisition of 3-D surface data based on optimal structured light. To achieve depth measurement for a dynamic scene, the data acquisition must be performed with only a single image. Our special arrangement makes the image of the light stripe remaining sharp while the background becomes blurred. Moreover, a dynamic programming approach is proposed to track the optimal path while the laser beam is invisible or divergent under extreme condition. The principle and necessary mathematics for implementing the algorithm are presented. The robustness of the system against uncalibrated errors is demonstrated. key words: structured light, dynamic programming, optimal trace, depth precision

A 3D foot shape feature parameter measurement algorithm based on Kinect2

“…Optical measurement methods are widely used in machine measurement of foot parameters. The common optical measurement methods include binocular vision method [4], phase measurement method [5], digital holography method [6,7], and structured light method [8].…”