Underwater Non-Rigid 3D Shape Reconstruction via Structure from Motion for Fish Ethology Research

被引：3
|
作者：
Che, Renzheng [1 ]
Xu, Xiao [1 ]
Nian, Rui [1 ]
He, Bo [1 ]
Chen, Meimei [1 ]
Zhang, Cheng [2 ]
Lendasse, Amaury [3 ,4 ,5 ]
机构：
[1] Ocean Univ China, Sch Informat Sci & Engn, 238 Songling Rd, Qingdao, Peoples R China
[2] Qingdao Univ Sci & Technol, Qingdao, Peoples R China
[3] Univ Iowa, Dept Mech & Ind Engn, Iowa City, IA 52242 USA
[4] Univ Iowa, Iowa Informat Initiat, Iowa City, IA 52242 USA
[5] Arcada Univ Appl Sci, Helsinki 00550, Finland
来源：
OCEANS 2016 MTS/IEEE MONTEREY | 2016年
关键词：
non-rigid 3D shape reconstruction; Structure from motion; expectation maximization; linear dynamical system;
D O I：
10.1109/OCEANS.2016.7761289
中图分类号：
P75 [海洋工程];
学科分类号：
0814 ; 081505 ; 0824 ; 082401 ;
摘要：
In this paper, we try to develop a general framework of 3D shape reconstruction strategy with extremely rare point cloud extracted for fish ethology research. Particle filter is first taken to focus on fish trajectory tracking from monocular video sequence. The Speeded Up Robust Features (SURF) technique will be adopted to match the same tracking fish across the overlapping view fields with more stable and accurate features. Non-rigid 3D shape reconstruction will be finally developed with the help of expectation maximization (EM) model and linear dynamical system (LDS). It is shown from our simulation experiment that the developed scheme of this paper achieves consistent performance improvements over non-rigid 3D shape reconstruction for fish ethology research.
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收藏
页数：5
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