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Detailed 3D mapping based on image edge-point ICP and recovery from registration failure

机译:基于图像边缘点ICP的详细3D映射以及从套准失败中恢复

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This paper presents a method of 3D mapping using a binocular stereo camera with automatic recovery from registration failure. We employ edge points as map element, and apply a variant of ICP algorithm to the inter-frame registration. The method detects failure in the registration due to erratic camera motion or moving objects and recovers from the failure by searching a good image to resume the registration using edge-point SIFT descriptors. In experiments, our method successfully coped with registration failure in 3D mapping in indoor and outdoor environments under various conditions.
机译:本文提出了一种使用双目立体相机进行3D映射的方法,该方法可以自动从配准失败中恢复。我们将边缘点用作地图元素,并将ICP算法的一种变体应用于帧间配准。该方法检测由于相机运动或运动物体不稳定而导致的配准失败,并通过搜索良好图像以使用边缘点SIFT描述符恢复配准而从故障中恢复。在实验中,我们的方法成功地解决了各种条件下在室内和室外环境中3D映射中的配准失败问题。

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