TY - GEN
T1 - 3D plant growth prediction via image-to-image translation
AU - Hamamoto, Tomohiro
AU - Uchiyama, Hideaki
AU - Shimada, Atsushi
AU - Taniguchi, Rin Ichiro
N1 - Funding Information:
A part of this work is supported by JSPS KAKENHI Grant Number JP17H01768 and JP18H04117.
Publisher Copyright:
Copyright © 2020 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved
PY - 2020
Y1 - 2020
N2 - This paper presents a method to predict three-dimensional (3D) plant growth with RGB-D images. Based on neural network based image translation and time-series prediction, we construct a system that gives the predicted result of RGB-D images from several past RGB-D images. Since both RGB and depth images are incorporated into our system, the plant growth can be represented in 3D space. In the evaluation, the performance of our proposed network is investigated by focusing on clarifying the importance of each module in the network. We have verified how the prediction accuracy changes depending on the internal structure of the our network.
AB - This paper presents a method to predict three-dimensional (3D) plant growth with RGB-D images. Based on neural network based image translation and time-series prediction, we construct a system that gives the predicted result of RGB-D images from several past RGB-D images. Since both RGB and depth images are incorporated into our system, the plant growth can be represented in 3D space. In the evaluation, the performance of our proposed network is investigated by focusing on clarifying the importance of each module in the network. We have verified how the prediction accuracy changes depending on the internal structure of the our network.
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M3 - Conference contribution
AN - SCOPUS:85083506915
T3 - VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
SP - 153
EP - 161
BT - VISAPP
A2 - Farinella, Giovanni Maria
A2 - Radeva, Petia
A2 - Braz, Jose
PB - SciTePress
T2 - 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2020
Y2 - 27 February 2020 through 29 February 2020
ER -