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A fast and accurate multi-level B-spline approximation with adaptive lattice partitioning and independent subregions transformation

机译:具有自适应晶格划分和独立子区域变换的快速准确的多级B样条逼近

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Image warping is an important visual effect tool in entertainment industry and other research field. To date many warping algorithms have been proposed and used such as mesh transformation, radial basis functions, thin plate splines and B-splines (free-form deformations). In particular, the free-form deformation based on B-spline approximation is a powerful and useful morphing algorithm and is proven to have the one-to-one property which can prevent the transformed image from folding back upon itself. In order to minimize the transformation error, a multi-level B-spline approximation has been proposed. Though a natural and smooth morphed image can be obtained by using the multi-level B-spline approximation, it takes a large computation cost. In this paper, we proposed an adaptive lattice partitioning method to reduce the large computation cost and a partial transformation method for enhancement of transformation accuracy. The experimental results show that the proposed methods are more efficient and accurate than conventional multi-level B-spline method.
机译:图像变形是娱乐行业和其他研究领域的重要视觉效果工具。迄今为止,已经提出并使用了许多变形算法,例如网格变换,径向基函数,薄板样条和B样条(自由形式的变形)。特别地,基于B样条近似的自由形式变形是一种强大而有用的变形算法,并被证明具有一对一的特性,可以防止变换后的图像自身折回。为了最小化变换误差,已经提出了多级B样条近似。尽管可以通过使用多级B样条逼近获得自然且平滑的变形图像,但它需要大量的计算成本。在本文中,我们提出了一种自适应的网格划分方法以减少大量的计算成本,并提出了一种局部变换方法以提高变换精度。实验结果表明,所提出的方法比常规的多级B样条方法更有效,更准确。

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