从单个参考图像重新定位6D动态相机

Wei Feng, Fei-Peng Tian, Qian Zhang, Ji-zhou Sun
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引用次数: 18

摘要

从单个参考图像动态重新定位6D相机姿态是一项昂贵且具有挑战性的任务,需要精细的手眼校准和精密的定位平台来进行3D机械旋转和平移。在本文中,我们证明了高质量的相机重新定位可以以更便宜的方式实现。基于价格低廉且绝对重新定位精度(ARA)不可靠的平台,我们提出了一种无需手眼校准的策略,通过顺序校正3D相对旋转和平移,将相机主动重新定位到产生输入参考图像的相同6D姿态。我们从理论上证明,通过该策略,旋转和平移的相对姿态都可以有效地降为零,手眼姿态位移有界未知。为了克服三维旋转和平移的模糊性,通过联合调整三维相对旋转和平移,将理论策略进一步修正为收敛速度更快、可靠性更高的实际再定位算法。广泛的实验验证了所提出的方法在实验室测试和具有挑战性的实际应用中的有效性和卓越的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
6D Dynamic Camera Relocalization from Single Reference Image
Dynamic relocalization of 6D camera pose from single reference image is a costly and challenging task that requires delicate hand-eye calibration and precision positioning platform to do 3D mechanical rotation and translation. In this paper, we show that high-quality camera relocalization can be achieved in a much less expensive way. Based on inexpensive platform with unreliable absolute repositioning accuracy (ARA), we propose a hand-eye calibration free strategy to actively relocate camera into the same 6D pose that produces the input reference image, by sequentially correcting 3D relative rotation and translation. We theoretically prove that, by this strategy, both rotational and translational relative pose can be effectively reduced to zero, with bounded unknown hand-eye pose displacement. To conquer 3D rotation and translation ambiguity, this theoretical strategy is further revised to a practical relocalization algorithm with faster convergence rate and more reliability by jointly adjusting 3D relative rotation and translation. Extensive experiments validate the effectiveness and superior accuracy of the proposed approach on laboratory tests and challenging real-world applications.
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