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A robust image mosaicing technique capable of creating integratedpanoramas

机译:强大的图像拼接技术能够创建集成全景图

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Existing featureless image mosaicing techniques do not pay enoughattention to the robustness of the image registration process, and arenot able to combine multiple video sequences into an integratedpanoramic view. These problems have certainly restricted applications ofthe existing methods for large-scale panorama composition, video contentoverview and information visualization. In this paper we propose amethod that is able to create an integrated panoramic view for a virtualcamera from multiple video sequences which each records a part of a vastscene. The method further enables the user to visualize the integratedpanoramic view from an arbitrary viewpoint and orientation by alteringthe parameters of the virtual camera. To ensure a robust and accuratepanoramic view synthesis from long video sequences, we attach a globalpositioning system (GPS) to the video camera, and utilize its outputdata to provide initial estimates for the camera's translationalparameters, and to prevent the camera parameter recovery process fromfalling into spurious local minima. Our proposed method is not onlysuitable for video content overview but also applicable to the areas ofinformation visualization, team collaborations, disastrous rescues, etc.The experimental results demonstrate the effectiveness of the proposedmethod
机译:现有的无特征图像拼接技术无法支付足够的费用 注意图像配准过程的鲁棒性,并且 无法将多个视频序列合并为一个集成的 全景。这些问题肯定限制了 现有的大规模全景图合成方法,视频内容 概述和信息可视化。在本文中,我们提出了一个 能够为虚拟设备创建集成全景视图的方法 来自多个视频序列的摄像机,每个序列记录了巨大视频的一部分 场景。该方法还使用户能够可视化集成的 通过改变视角从任意角度和方向的全景 虚拟摄像机的参数。确保稳健而准确 从长视频序列进行全景合成,我们附加了全局 摄像机的定位系统(GPS),并利用其输出 数据为相机的平移提供初步估计 参数,并防止相机参数恢复过程 陷入虚假的局部最小值。我们提出的方法不仅是 适用于视频内容概述,但也适用于以下领域 信息可视化,团队合作,灾难性救援等。 实验结果证明了所提方法的有效性 方法

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