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自由飞行果蝇位姿估计的船体重建-重投影方法。

A hull reconstruction-reprojection method for pose estimation of free-flying fruit flies.

机构信息

School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel.

Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel.

出版信息

J Exp Biol. 2023 Nov 1;226(21). doi: 10.1242/jeb.245853. Epub 2023 Nov 3.

Abstract

Understanding the mechanisms of insect flight requires high-quality data of free-flight kinematics, e.g. for comparative studies or genetic screens. Although recent improvements in high-speed videography allow us to acquire large amounts of free-flight data, a significant bottleneck is automatically extracting accurate body and wing kinematics. Here, we present an experimental system and a hull reconstruction-reprojection algorithm for measuring the flight kinematics of fruit flies. The experimental system can automatically record hundreds of flight events per day. Our algorithm resolves a significant portion of the occlusions in this system by a reconstruction-reprojection scheme that integrates information from all cameras. Wing and body kinematics, including wing deformation, are then extracted from the hulls of the wing boundaries and body. This model-free method is fully automatic, accurate and open source, and can be readily adjusted for different camera configurations or insect species.

摘要

理解昆虫飞行的机制需要高质量的自由飞行运动学数据,例如用于比较研究或遗传筛选。尽管高速摄像技术的最新进展允许我们获取大量的自由飞行数据,但一个显著的瓶颈是自动提取准确的身体和翅膀运动学。在这里,我们提出了一个实验系统和一个船体重建-重投影算法,用于测量果蝇的飞行运动学。该实验系统可以自动记录每天数百个飞行事件。我们的算法通过一种重建-重投影方案解决了系统中很大一部分遮挡问题,该方案整合了来自所有摄像机的信息。然后,从翅膀边界和身体的船体中提取翅膀和身体运动学,包括翅膀变形。这种无模型方法是全自动的、准确的和开源的,并且可以很容易地调整适用于不同的摄像机配置或昆虫种类。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1415/10629692/1b5291d5fb5c/jexbio-226-245853-g1.jpg

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