首页> 外文会议>International Conference on Computational Intelligence and Security(CIS 2005) pt.2; 20051215-19; Xi'an(CN) >Removing of Metal Highlight Spots Based on Total Variation Inpainting with Multi-sources-flashing
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Removing of Metal Highlight Spots Based on Total Variation Inpainting with Multi-sources-flashing

机译:基于多源闪光的总变化修补去除金属高光斑点

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The removing of specular highlight spots has been the hotspot in the field of computer vision. A variety of methods have been designed to remove the specular on the surface of the objects. Unfortunately few paper on removal of (specular) highlight spots on the metal surface have been reported. Since the region of highlight spots on metal surface is much larger than that of non-metal, it is harder to remove them. We propose a novel Inpainting with Multi-Sources-Flashing method to resolve the problem. The outcome of the experiments demonstrate that the light-spots on the surface of the metal objects with complex texture are removed effectively, and the physical property of the surface maintains well. The pyramid structure of our algorithm flow makes the innovation function efficiently.
机译:镜面反射高光点的去除一直是计算机视觉领域的热点。设计了多种方法来去除物体表面的镜面反射。不幸的是,关于去除金属表面上(镜面)高光斑点的论文很少。由于金属表面上高光斑点的区域比非金属大得多,因此很难去除它们。我们提出了一种新颖的多源闪光修复方法来解决该问题。实验结果表明,具有复杂纹理的金属物体表面的光斑被有效去除,表面的物理性能保持良好。我们算法流程的金字塔结构使创新功能有效发挥。

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