Animated mesh simplification based on motion features in visual sensor networks

The three-dimensional animated model is widely used in scientific visualization, entertainment, and virtual applications, especially in visual sensor networks. The main purpose of simplification is to capture the shape sequence of an object with very few elements while preserving the overall shape....

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Main Authors: Hongjie Yang, Fan Zhou, Ge Lin, Mouguang Lin, Shujin Lin
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1177/1550147718822458
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author Hongjie Yang
Fan Zhou
Ge Lin
Mouguang Lin
Shujin Lin
author_facet Hongjie Yang
Fan Zhou
Ge Lin
Mouguang Lin
Shujin Lin
author_sort Hongjie Yang
collection DOAJ
description The three-dimensional animated model is widely used in scientific visualization, entertainment, and virtual applications, especially in visual sensor networks. The main purpose of simplification is to capture the shape sequence of an object with very few elements while preserving the overall shape. As three-dimensional animated mesh is time-varying in all frames, the trade-off between the temporal coherence and geometric distortion must be considered to develop simplification algorithm. In this article, a novel three-dimensional animated mesh simplification algorithm based on motion features is presented. Here, motion features are the connection areas of the relative movement consisted of vertices and edges. Motion feature extraction is to find a subgraph that has movement property. Dihedral angle of the edge through all frames is used to determine whether an edge is connected or not to the movement parts. Then, a rotation connected graph is defined to extract motion features. Traveling this graph, all motion features can be extracted. Based on the motion features, animated quadric error metric is created and quadric error matrix is built through all frames. Compared with the other methods, the important advantages of this method are high-efficiency simplification process and smoother simplification effects. It is suitable to be used in real-time applications. Experiment results show that the 3D animated mesh simplification effects by our method are satisfactory.
format Article
id doaj-art-54a8ac8bce744957b21df2e3bca82df3
institution Kabale University
issn 1550-1477
language English
publishDate 2019-01-01
publisher Wiley
record_format Article
series International Journal of Distributed Sensor Networks
spelling doaj-art-54a8ac8bce744957b21df2e3bca82df32025-02-03T06:45:30ZengWileyInternational Journal of Distributed Sensor Networks1550-14772019-01-011510.1177/1550147718822458Animated mesh simplification based on motion features in visual sensor networksHongjie YangFan ZhouGe LinMouguang LinShujin LinThe three-dimensional animated model is widely used in scientific visualization, entertainment, and virtual applications, especially in visual sensor networks. The main purpose of simplification is to capture the shape sequence of an object with very few elements while preserving the overall shape. As three-dimensional animated mesh is time-varying in all frames, the trade-off between the temporal coherence and geometric distortion must be considered to develop simplification algorithm. In this article, a novel three-dimensional animated mesh simplification algorithm based on motion features is presented. Here, motion features are the connection areas of the relative movement consisted of vertices and edges. Motion feature extraction is to find a subgraph that has movement property. Dihedral angle of the edge through all frames is used to determine whether an edge is connected or not to the movement parts. Then, a rotation connected graph is defined to extract motion features. Traveling this graph, all motion features can be extracted. Based on the motion features, animated quadric error metric is created and quadric error matrix is built through all frames. Compared with the other methods, the important advantages of this method are high-efficiency simplification process and smoother simplification effects. It is suitable to be used in real-time applications. Experiment results show that the 3D animated mesh simplification effects by our method are satisfactory.https://doi.org/10.1177/1550147718822458
spellingShingle Hongjie Yang
Fan Zhou
Ge Lin
Mouguang Lin
Shujin Lin
Animated mesh simplification based on motion features in visual sensor networks
International Journal of Distributed Sensor Networks
title Animated mesh simplification based on motion features in visual sensor networks
title_full Animated mesh simplification based on motion features in visual sensor networks
title_fullStr Animated mesh simplification based on motion features in visual sensor networks
title_full_unstemmed Animated mesh simplification based on motion features in visual sensor networks
title_short Animated mesh simplification based on motion features in visual sensor networks
title_sort animated mesh simplification based on motion features in visual sensor networks
url https://doi.org/10.1177/1550147718822458
work_keys_str_mv AT hongjieyang animatedmeshsimplificationbasedonmotionfeaturesinvisualsensornetworks
AT fanzhou animatedmeshsimplificationbasedonmotionfeaturesinvisualsensornetworks
AT gelin animatedmeshsimplificationbasedonmotionfeaturesinvisualsensornetworks
AT mouguanglin animatedmeshsimplificationbasedonmotionfeaturesinvisualsensornetworks
AT shujinlin animatedmeshsimplificationbasedonmotionfeaturesinvisualsensornetworks