Real-time mosaicing of images from the quadcopter using Auto-view selection method with noise cancellation capability

Afshin Shirbandi, F. F. Saberi
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Abstract

Due to the vibrations caused by the movement of the quadcopter, mosaicing of received images is not suitable and that likes take several views of one scene, that is why the Bundle Adjustment is used. "Bundle Adjustment" method is used to adjust the optical radius of the cameras and elimination of the vibration caused by the motion of the quadcopter. Due to the excess of images, their attachment would not be done in an ordinary way, because of that we use the cylindrical method. On the other hand, resolution of mosaic images is of a paramount importance. To reach the end, an auto-view selection algorithm is proposed in this paper. In the feature extraction stage (feature matching across the images), there is always some kind of noises. In order to eliminate noise, we have proposed the "Lq" method, following by the "Blending" method to remove differences of brightness between mosaic images. The final goal is to reach an image with a uniform distribution of brightness.
利用具有消噪能力的自动视图选择方法对来自四轴飞行器的图像进行实时拼接
由于由四轴飞行器的运动引起的振动,收到的图像的拼接是不合适的,喜欢采取一个场景的几个视图,这就是为什么使用束调整。采用“束调整”方法调整摄像机的光学半径,消除四轴飞行器运动引起的振动。由于图像过多,它们的附着不会以普通的方式进行,因此我们使用圆柱形方法。另一方面,拼接图像的分辨率是至关重要的。为了达到这一目的,本文提出了一种自动视图选择算法。在特征提取阶段(图像间的特征匹配),总会存在一些噪声。为了消除噪声,我们提出了“Lq”方法,然后提出了“blend”方法来消除拼接图像之间的亮度差异。最终目标是获得亮度均匀分布的图像。
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