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POSTER A Step Closer To Reality: Closed Loop Dynamic Registration Correction in SAR

机译：海报更接近现实的一步：SAR中的闭环动态配准校正

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摘要

In Spatial Augmented Reality (SAR) applications, real world objects are augmented with virtual content by means of a calibrated camera-projector system. A computer generated model (CAD) of the real object is used to plan the positions where the virtual content is to be projected. It is often the case that the real object deviates from its CAD model, this resulting in misregistered augmentations. We propose a new method to dynamically correct the planned augmentation by accommodating for the unknown deviations in the object geometry. We use a closed loop approach where the projected features are detected in the camera image and deployed as feedback. As a result, the registration misalignment is identified and the augmentations are corrected in the areas affected by the deviation. Our work is especially focused on SAR applications related to the industrial domain, where this problem is omnipresent. We show that our method is effective and beneficial for multiple industrial applications.
机译：在空间增强现实（SAR）应用程序中，通过校准的摄像机-投影仪系统，可以使用虚拟内容来增强真实世界的对象。真实对象的计算机生成的模型（CAD）用于计划要投影虚拟内容的位置。通常情况下，真实对象会偏离其CAD模型，这会导致配准错误。我们提出了一种新方法，通过适应对象几何形状中的未知偏差来动态校正计划的扩增。我们使用闭环方法，其中在相机图像中检测到投影的特征并将其部署为反馈。结果，识别出对准未对准并且在受偏差影响的区域中校正了隆起。我们的工作尤其专注于与工业领域相关的SAR应用，而这个问题无处不在。我们证明了我们的方法对多种工业应用都是有效和有益的。

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