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APPARATUS AND METHOD FOR REMOVING DISTORTION OF FISHEYE LENS AND OMNI-DIRECTIONAL IMAGES

机译:去除鱼眼镜头和全向图像失真的装置和方法

摘要

The present invention relates to an apparatus and a method for removing distortion of fisheye lens and omni-directional images, in which a machine learning algorithm to improve learning accuracy and performance is applied to remove geometric distortion from a fisheye lens image and an omni-directional image with severe distortion. The present invention comprises an index-based distortion removing unit for performing index-based image distortion removal when a fisheye lens image and an omni-directional image are input; a geometric model-based distortion removing unit for performing geometric model-based image distortion removal when the fisheye lens image and the omni-directional image are input; and an image data set outputting unit for outputting an image data set that may be applied to a machine learning algorithm by removing distortion of the image by means of at least one of the index-based distortion removing unit and the geometric model-based distortion removing unit.
机译:本发明涉及一种用于去除鱼眼镜头和全向图像的畸变的设备和方法,其中,应用了用于提高学习精度和性能的机器学习算法来去除鱼眼镜头图像和全向的几何畸变。图像严重失真。本发明包括:基于索引的失真去除单元,用于在输入鱼眼镜头图像和全向图像时执行基于索引的图像失真去除;以及基于几何模型的失真去除单元,用于在输入鱼眼镜头图像和全向图像时进行基于几何模型的图像失真去除;图像数据集输出单元,用于输出图像数据集,该图像数据集可以通过基于索引的失真消除单元和基于几何模型的失真消除中的至少一个消除图像的失真而应用于机器学习算法单元。

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