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23 June 2020 3D Image Reconstruction of Marine Plankton Based on Virtual Reality
Suran Kong
Author Affiliations +
Abstract

Kong, S., 2020. 3D image reconstruction of marine plankton based on virtual reality. In: Yang, Y.; Mi, C.; Zhao, L., and Lam, S. (eds.), Global Topics and New Trends in Coastal Research: Port, Coastal and Ocean Engineering. Journal of Coastal Research, Special Issue No. 103, pp. 851–854. Coconut Creek (Florida), ISSN 0749-0208.

In the real-time detection of marine plankton, it is difficult to find the three-dimensional morphological features quickly. In traditional image reconstruction methods, the angle error is large and the matching accuracy is too low. Therefore, a method of 3D image reconstruction for marine plankton based on virtual reality was put forward. Two cameras were used to observe the three-dimensional image of marine plankton from different angles. Based on the results of stereo matching, the deviation of image feature points was calculated. Finally, the depth information of object was obtained by triangle similarity principle. Thus, the three-dimensional image of marine plankton based on virtual reality was reconstructed. Simulation results show that the proposed method can quickly and accurately complete the 3D image reconstruction of marine plankton.

©Coastal Education and Research Foundation, Inc. 2020
Suran Kong "3D Image Reconstruction of Marine Plankton Based on Virtual Reality," Journal of Coastal Research 103(sp1), 851-854, (23 June 2020). https://doi.org/10.2112/SI103-176.1
Received: 5 December 2019; Accepted: 24 February 2020; Published: 23 June 2020
KEYWORDS
3D image reconstruction
marine plankton
triangle similarity principle
virtual reality
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