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Real-Time Occlusion Handling in Augmented Reality Based on an Object Tracking Approach

机译:基于对象跟踪的增强现实中的实时遮挡处理

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To produce a realistic augmentation in Augmented Reality, the correct relative positions of real objects and virtual objects are very important. In this paper, we propose a novel real-time occlusion handling method based on an object tracking approach. Our method is divided into three steps: selection of the occluding object, object tracking and occlusion handling. The user selects the occluding object using an interactive segmentation method. The contour of the selected object is then tracked in the subsequent frames in real-time. In the occlusion handling step, all the pixels on the tracked object are redrawn on the unprocessed augmented image to produce a new synthesized image in which the relative position between the real and virtual object is correct. The proposed method has several advantages. First, it is robust and stable, since it remains effective when the camera is moved through large changes of viewing angles and volumes or when the object and the background have similar colors. Second, it is fast, since the real object can be tracked in real-time. Last, a smoothing technique provides seamless merging between the augmented and virtual object. Several experiments are provided to validate the performance of the proposed method.
机译:为了在增强现实中产生逼真的增强效果,真实对象和虚拟对象的正确相对位置非常重要。在本文中,我们提出了一种基于对象跟踪方法的新型实时遮挡处理方法。我们的方法分为三个步骤:遮挡对象的选择,对象跟踪和遮挡处理。用户使用交互式分割方法选择遮挡对象。然后在随后的帧中实时跟踪所选对象的轮廓。在遮挡处理步骤中,在未处理的增强图像上重新绘制被跟踪对象上的所有像素,以生成新的合成图像,其中真实对象与虚拟对象之间的相对位置正确。所提出的方法具有几个优点。首先,它坚固且稳定,因为当摄像机通过较大的视角和体积变化移动时或当对象和背景具有相似的颜色时,它仍然有效。其次,它很快,因为可以实时跟踪真实对象。最后,平滑技术可在增强对象和虚拟对象之间提供无缝合并。提供了一些实验来验证所提出方法的性能。

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