ESM-Blur: Handling & rendering blur in 3D tracking and augmentation
ESM-Blur: Handling & rendering blur in 3D tracking and augmentation
复制标题
ESM-模糊：处理
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
Woontack Woo
中科院分区：
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作者：
Youngmin Park;V. Lepetit;Woontack Woo
本文的贡献是双重的。首先，我们展示了如何扩展ESM算法来处理3D对象跟踪中的运动模糊。ESM是基于模板匹配的跟踪的强大算法，但它可能会在运动模糊下失败。我们引入了一个图像形成模型，明确考虑模糊的可能性，并显示它的结果在原来的ESM算法的推广。这使得即使在大量模糊的情况下也能更快、更准确和更稳健地收敛。我们的第二个贡献是一个有效的方法来渲染的虚拟对象下估计的运动模糊。它在3D透视下渲染对象的两个图像，并扭曲它们以创建许多中间图像。通过融合这些图像，我们获得了与捕获图像一致模糊的虚拟对象的最终图像。由于扭曲比3D渲染快得多，我们可以以非常低的计算成本创建逼真的模糊图像。
The contribution of this paper is two-fold. First, we show how to extend the ESM algorithm to handle motion blur in 3D object tracking. ESM is a powerful algorithm for template matching-based tracking, but it can fail under motion blur. We introduce an image formation model that explicitly considers the possibility of blur, and show it results in a generalization of the original ESM algorithm. This allows to converge faster, more accurately and more robustly even under large amount of blur. Our second contribution is an efficient method for rendering the virtual objects under the estimated motion blur. It renders two images of the object under 3D perspective, and warps them to create many intermediate images. By fusing these images we obtain a final image for the virtual objects blurred consistently with the captured image. Because warping is much faster that 3D rendering, we can create realistically blurred images at a very low computational cost.