Multi-view Active Appearance Models for the X-Ray Based Analysis of Avian Bipedal Locomotion
Multi-view Active Appearance Models for the X-Ray Based Analysis of Avian Bipedal Locomotion
复制标题
基于 X 射线的鸟类双足运动分析的多视图主动外观模型
DOI：
10.1007/978-3-642-23123-0_2
复制
发表时间：
2011
期刊：
影响因子：
--
通讯作者：
Joachim Denzler
中科院分区：
文献类型：
--
作者：
D. Haase;J. Nyakatura;Joachim Denzler
生物学、运动科学和机器人学的许多研究领域都依赖于对动物运动的理解。因此，许多实验是使用高速双平面X射线采集系统进行的，该系统记录行走动物的序列。到目前为止，这些序列的评估是一项非常耗时的任务，因为人类专家必须手动注释图像中的解剖标志。因此，在最低级别的用户交互下自动执行此任务是值得的。然而，数据中的许多困难-例如X射线遮挡或解剖学模糊性-使这个问题急剧复杂化，并需要使用全局模型。主动外观模型（AAM）已知能够处理遮挡，但是具有模糊性的问题。因此，我们分析了多视图AAM在上述场景中的应用，并表明它们可以有效地处理单视图模型无法处理的不确定性。此外，对人类专家跟踪性能的初步研究表明，多视角AAM的误差与手动跟踪的情况下处于相同的数量级。
Many fields of research in biology, motion science and robotics depend on the understanding of animal locomotion. Therefore, numerous experiments are performed using high-speed biplanar x-ray acquisition systems which record sequences of walking animals. Until now, the evaluation of these sequences is a very time-consuming task, as human experts have to manually annotate anatomical landmarks in the images. Therefore, an automation of this task at a minimum level of user interaction is worthwhile. However, many difficulties in the data--such as x-ray occlusions or anatomical ambiguities--drastically complicate this problem and require the use of global models. Active Appearance Models (AAMs) are known to be capable of dealing with occlusions, but have problems with ambiguities. We therefore analyze the application of multi-view AAMs in the scenario stated above and show that they can effectively handle uncertainties which can not be dealt with using single-view models. Furthermore, preliminary studies on the tracking performance of human experts indicate that the errors of multi-view AAMs are in the same order of magnitude as in the case of manual tracking.
影响因子：
2.4
作者：
BLICKHAN, R
通讯作者：
BLICKHAN, R
DOI：
10.1115/1.2206199
发表时间：
2006-08-01
影响因子：
1.7
作者：
Bey, Michael J.;Zauel, Roger;Tashman, Scott
通讯作者：
Tashman, Scott