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Three-dimensional visual measurement for MAV aerodynamic shape based on stroboscopic imaging technique

机译:基于频闪成像技术的MAV空气动力学形状的三维视觉测量

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The morphological change is an important factor to impact Micro Air Vehicle flight performance. The research on MAV shape detection and tracking has become a focus of attention in the field of civilian and military. Although current researches have got massive experiment results and analysis,they mainly use high-speed photography equipment to record object movement. This paper introduces a new three-dimensional visual measuring technique for MAV morphological changes, which is based on stroboscopic imaging detection technique. By using this technique, we can obtain continuous image data of MAV shape during movement under the conditions that without high-speed image equipment. In the experiment, Scale Invariant Feature Transform (SIFT) features that describe surface texture information are extracted, and then through match the same points as extracted SIFT features at different locations in stroboscopic image are searched. In order to improve the accuracy of tracking, RANSAC algorithm is applied to eliminate incorrect pairs. As a result, corresponding relationship among extracted points at different locations in one picture is established and the morphological change value and motion trace of MAV shape during movement could be calculated. The whole experiment framework is based on binocular vision measurement principle to get sufficient visibility and enough accuracy for tracking.
机译:形态变化是影响微型飞行器飞行性能的重要因素。 MAV形状检测与跟踪的研究已成为民用和军事领域的关注焦点。尽管目前的研究得到了大量的实验结果和分析,但它们主要使用高速摄影设备记录物体的运动。本文介绍了一种基于频闪成像检测技术的MAV形态变化的新型三维视觉测量技术。通过使用这种技术,我们可以在没有高速成像设备的条件下获得运动过程中MAV形状的连续图像数据。在实验中,提取描述表面纹理信息的尺度不变特征变换(SIFT)特征,然后通过匹配在频闪图像中不同位置搜索与提取的SIFT特征相同的点。为了提高跟踪精度,采用RANSAC算法消除不正确的配对。结果,建立了一张图片中不同位置的提取点之间的对应关系,并且可以计算运动期间MAV形状的形态变化值和运动轨迹。整个实验框架都基于双目视觉测量原理,以获得足够的可见性和足够的跟踪精度。

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