3D Object Measurement Using Encoded Structured Light

This document presents the implementation of 3D object measurement using encoded structured light technology. The methodology is achieved through sophisticated image processing algorithms and comprehensive camera calibration procedures. Encoded structured light represents an advanced technique for precisely capturing object shapes and dimensions by projecting encoded patterns onto object surfaces and analyzing the distortions captured by cameras to compute three-dimensional coordinates. The implementation typically involves pattern encoding/decoding algorithms, camera calibration using checkerboard patterns to determine intrinsic and extrinsic parameters, and stereo vision principles for depth calculation. This approach finds extensive applications across multiple domains including industrial manufacturing, robotics, and virtual reality systems. By employing encoded structured light technology with proper image processing pipelines, we can obtain more accurate and detailed measurement results, thereby enhancing our understanding and analysis of object characteristics and properties. Key implementation aspects include pattern design (such as Gray code or sinusoidal patterns), correspondence establishment between projected and captured patterns, and 3D reconstruction algorithms using triangulation principles.