3D Reconstruction using Structured Light from off-the-shelf components
Aman Gajendra Jain, Shital Chiddarwar
TL;DR
The work targets metric, dense 3D reconstruction using a low-cost structured-light setup built from off-the-shelf components. It employs camera calibration via Zhang’s asymmetric checkerboard method, projector calibration through local homographies, gray-code and phase-based structured-light decoding, triangulation with projection matrices, and iterative point-cloud stitching with ICP. The results show sub-pixel calibration accuracy and coherent multi-view reconstructions (e.g., a cup, a face, and scenes), demonstrating the viability of a cost-effective scanner approaching CMM-like performance. Practical impact includes accessible 3D scanning for mechanical components and educational demonstrations, with future work focusing on improved turntable calibration, illumination robustness, and advanced reconstruction techniques.
Abstract
The coordinate measuring machine(CMM) has been the benchmark of accuracy in measuring solid objects from nearly past 50 years or more. However with the advent of 3D scanning technology, the accuracy and the density of point cloud generated has taken over. In this project we not only compare the different algorithms that can be used in a 3D scanning software, but also create our own 3D scanner from off-the-shelf components like camera and projector. Our objective has been : 1. To develop a prototype for 3D scanner to achieve a system that performs at optimal accuracy over a wide typology of objects. 2. To minimise the cost using off-the-shelf components. 3. To reach very close to the accuracy of CMM.