CVLGDec 1, 2021

3D Reconstruction Using a Linear Laser Scanner and a Camera

arXiv:2112.00557v15 citations
Originality Synthesis-oriented
AI Analysis

This provides an accessible, low-cost 3D reconstruction method for hobbyists or small-scale applications, but it is incremental as it builds on existing monovision with laser techniques.

The study tackled the problem of generating clear point cloud models with inexpensive 3D reconstruction scanners by introducing an implementation using a linear laser scanner, camera, and turntable, resulting in satisfying accuracy and resolution for objects like a wiki and mug.

With the rapid development of computer graphics and vision, several three-dimensional (3D) reconstruction techniques have been proposed and used to obtain the 3D representation of objects in the form of point cloud models, mesh models, and geometric models. The cost of 3D reconstruction is declining due to the maturing of this technology, however, the inexpensive 3D reconstruction scanners on the market may not be able to generate a clear point cloud model as expected. This study systematically reviews some basic types of 3D reconstruction technology and introduces an easy implementation using a linear laser scanner, a camera, and a turntable. The implementation is based on the monovision with laser and has tested several objects like wiki and mug. The accuracy and resolution of the point cloud result are quite satisfying. It turns out everyone can build such a 3D reconstruction system with appropriate procedures.

Code Implementations1 repo
Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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