Presentation + Paper
16 May 2018 Matching-based depth camera and mirrors for 3D reconstruction
Trong-Nguyen Nguyen, Huu-Hung Huynh, Jean Meunier
Author Affiliations +
Abstract
Reconstructing 3D object models is playing an important role in many applications in the field of computer vision. Instead of employing a collection of cameras and/or sensors as in many studies, this paper proposes a simple way to build a cheaper system for 3D reconstruction using only one depth camera and 2 or more mirrors. Each mirror is equivalently considered as a depth camera at another viewpoint. Since all scene data are provided by only one depth sensor, our approach can be applied to moving objects and does not require any synchronization protocol as with a set of cameras. Some experiments were performed on easy-to-evaluate objects to confirm the reconstruction accuracy of our proposed system.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Trong-Nguyen Nguyen, Huu-Hung Huynh, and Jean Meunier "Matching-based depth camera and mirrors for 3D reconstruction", Proc. SPIE 10666, Three-Dimensional Imaging, Visualization, and Display 2018, 1066610 (16 May 2018); https://doi.org/10.1117/12.2304427
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Mirrors

Cameras

Clouds

3D modeling

Calibration

Optical spheres

Reconstruction algorithms

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