标题:Gaussian process dynamic modeling of bat flapping flight
作者:Bender, Matthew ;Yang, Xu ;Chen, Hui ;Kurdila, Andrew ;Muller, Rolf
作者机构:[Bender, Matthew ;Kurdila, Andrew ;Muller, Rolf ] Department of Mechanical Engineering, Virginia Tech, Blacksburg; VA, United States;[Muller, Rolf ] S 更多
会议名称:24th IEEE International Conference on Image Processing, ICIP 2017
会议日期:17 September 2017 through 20 September 2017
来源:Proceedings - International Conference on Image Processing, ICIP
出版年:2018
卷:2017-September
页码:4542-4546
DOI:10.1109/ICIP.2017.8297142
关键词:Dimensionality Reduction; Gaussian Process Dynamic Models; Manifold Estimation; Motion Capture
摘要:The flapping flight of bats can serve as an inspiration for flapping-wing air vehicles. Obtaining an understanding of bat flight requires detailed, occlusion-free kinematics data that can only be collected using large numbers of cameras. Here, we have explored the use of low-cost cameras with low frame rates that result in nonlinear, large-baseline motions in image space. To create a better model for predicting the motion of features under these circumstances, we have applied Gaussian Process Dynamic Modeling (GPDM) to manually digitized flight data in order to learn a lower dimensional manifold near which the motion evolves. The primary contribution of this work is the first nonlinear dimensionality reduction for the representation of bat flight. © 2017 IEEE.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045332725&doi=10.1109%2fICIP.2017.8297142&partnerID=40&md5=878423c61ce09df9a13a33be061f372f
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