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Absolute Orientation and Localization Estimation from an Omnidirectional Image

机译:全向图像的绝对方向和定位估计

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In this paper, we present a novel method for instantly and autonomously determining global-localization and pose in a wide-area outdoor environment based on a single panoramic image and a 2.5D city model. In contrast to existing method, our approach is not entirely dependent on prior GPS data and inclined to use omnidirectional visual information to provide a precise city-localization in urban scene. We estimate the orientation and localization of camera based on spherical panoramic imaging model. We evaluate the proposed method on a challenging dataset. The experiments indicate that pose precision from our method is obviously superior to that from the consumer sensors and we remain unbeatable in terms of time cost compared to previous methods.
机译:在本文中,我们提出了一种新颖的方法,该方法可基于单个全景图像和2.5D城市模型,即时且自主地确定全局定位并在广域室外环境中进行摆姿势。与现有方法相比,我们的方法并不完全依赖于先前的GPS数据,而是倾向于使用全向视觉信息在城市场景中提供精确的城市定位。我们基于球面全景成像模型估算相机的方向和定位。我们在具有挑战性的数据集上评估提出的方法。实验表明,我们的方法的姿态精度明显优于消费类传感器,并且在时间成本方面,与以前的方法相比,我们仍然是无与伦比的。

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