论文标题
基于改进的能量优化的透视纹理综合
Perspective Texture Synthesis Based on Improved Energy Optimization
论文作者
论文摘要
透视纹理综合在许多领域中具有重要意义，例如视频编辑，场景捕获等，因为它能够阅读和控制全局功能信息。在本文中，我们提出了一种基于示例的新颖示例，特别是基于能量优化的算法，以合成透视纹理。能量优化技术是一种基于像素的方法，因此它很耗时。我们从两个方面进行了改进，目的是实现更快的合成和高质量。首先，我们通过用少量补丁替换像素计算来更改基于像素的技术。其次，我们提出了一种新颖的技术，可以加速搜索能量优化的最近社区。使用K-表示聚类技术来构建搜索树以加速搜索。因此，我们利用主成分分析（PCA）技术来降低输入向量的尺寸。高质量的结果证明我们的方法是可行的。此外，我们提出的算法相对于其他类似方法需要较短的时间。
Perspective texture synthesis has great significance in many fields like video editing, scene capturing etc., due to its ability to read and control global feature information. In this paper, we present a novel example-based, specifically energy optimization-based algorithm, to synthesize perspective textures. Energy optimization technique is a pixel-based approach, so it is time-consuming. We improve it from two aspects with the purpose of achieving faster synthesis and high quality. Firstly, we change this pixel-based technique by replacing the pixel computation with a little patch. Secondly, we present a novel technique to accelerate searching nearest neighborhoods in energy optimization. Using k- means clustering technique to build a search tree to accelerate the search. Hence, we make use of principal component analysis (PCA) technique to reduce dimensions of input vectors. The high quality results prove that our approach is feasible. Besides, our proposed algorithm needs shorter time relative to other similar methods.
