Abstract Defocus blur in images deteriorates the quality of image-based textures for 3D archaeological models. We propose a method to estimate the defocus blur in calibrated multi-view images based on photographic optics. Our method estimates the defocus blur maps without any modification to cameras or using any statistical model of images. After the focus distance of each image is estimated from the reconstructed 3D models with physical scale, the near distance dn and the far distance df of acceptable sharpness from the view point are calculated. We set the colour of the model vertex to white if the vertex’s distance from the view point is within the interval between dn and df, otherwise black. Finally we render the 3D model into a defocus map using the intrinsic and extrinsic parameters of the camera. The obtained defocus maps can be utilized as masks to generate an all-focused texture map for the reconstructed 3D archaeological model. Experimental results on real data demonstrate the effectiveness of the method.

中文翻译：

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用于3D考古文档的校准多视图图像中的散焦模糊估计

摘要图像中的散焦模糊会降低3D考古模型基于图像的纹理的质量。我们提出了一种基于摄影光学估计校准的多视图图像中的散焦模糊的方法。我们的方法无需对相机进行任何修改或使用任何图像统计模型即可估计散焦模糊贴图。从具有物理比例的重建3D模型估计每个图像的聚焦距离后，可以计算出从视点可以看到的清晰度的近距离dn和远距离df。如果顶点到视点的距离在dn和df之间的间隔内，则将模型顶点的颜色设置为白色，否则为黑色。最后，我们使用相机的内部和外部参数将3D模型渲染为散焦图。所获得的散焦图可以用作遮罩，以生成用于重建的3D考古模型的全聚焦纹理图。真实数据的实验结果证明了该方法的有效性。