Three-dimensional (3D) Reconstruction of Range Gated Imaging
| Autor: | Ningqun Guo, Sing Yee Chua, Xin Wang, K. W. Chew |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Computer science
business.industry Machine vision 3D reconstruction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing 02 engineering and technology Iterative reconstruction 021001 nanoscience & nanotechnology 01 natural sciences Constructive 010309 optics Range (mathematics) Logic gate 0103 physical sciences Computer vision Artificial intelligence 0210 nano-technology business Image resolution |
| Zdroj: | 2018 IEEE 7th International Conference on Photonics (ICP). |
| Popis: | In this paper, several approaches are applied for 3D reconstruction of range gated imaging with the objective to improve the 3D performance in terms of accuracy and resolution. Feasibility of the proposed image processing, 3D reconstruction model, super-resolution technique, and mesh refinement is demonstrated. Our test case shows that the depth error of 3D reconstruction is improved from 2.26% to 1.65% after mesh refinement. This gives a constructive idea to provide optimised 3D solution and benefit various applications. The proposed approaches and the findings presented may stimulate further interest in the relevant fields such as machine vision and 3D active imaging. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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