IR2s:与Sumi-e互动的真实照片

Ning Xie, Hamid Laga, S. Saito, M. Nakajima
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引用次数: 34

摘要

我们提出了一个基于草图的交互式系统,用于在复杂形状上绘制东方笔触。我们引入了一种轮廓驱动的方法;用户输入代表复杂形状的轮廓,系统自动估计出画笔的最佳轨迹,然后将其渲染成东方水墨画。与之前的工作不同,我们明确地提供了笔刷轨迹作为输入,我们使用三阶段算法从形状的轮廓自动估计该轨迹。首先,复杂的形状被分解成可以用单个笔触渲染的基本形状。其次,我们将最优的笔刷轨迹估计表述为能量函数的最小化,该函数测量轨迹质量,该轨迹质量受沿笔画过程参数(如足迹位置、大小、方向和角速度)变化的约束。最后,通过映射从真实图像扫描的足迹纹理,将估计的轨迹渲染成笔触。我们将提出的框架与交互式分割相结合,以将真实图像转换为东方水墨画。对复杂形状的实验表明,与基于轨迹的方法相比,基于轮廓的方法产生的笔画种类更多。特别适合用最少的互动将真实影像转换成东方水墨画。
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IR2s: interactive real photo to Sumi-e
We propose an interactive sketch-based system for rendering oriental brush strokes on complex shapes. We introduce a contour-driven approach; the user inputs contours to represent complex shapes, the system estimates automatically the optimal trajectory of the brush, and then renders them into oriental ink paintings. Unlike previous work where the brush trajectory is explicitly provided as input, we automatically estimate this trajectory from the outline of the shapes to paint using a three-stages algorithm; first complex shapes are decomposed into elementary shapes that can be rendered with a single brush stroke. Second, we formulate the optimal brush trajectory estimation as the minimization of an energy function that measures the quality of the trajectory constrained by the variation along a stroke of the painting process parameters, such as the footprint position, size, orientation, and angular velocity. Finally, the estimated trajectories are rendered into brush strokes by mapping footprint textures scanned from real images. We combine the proposed framework with an interactive segmentation in order to convert real images into Oriental ink paintings. Experiments on complex shapes show that the proposed contour-based approach produces a large variety of strokes compared to trajectory-based approaches. It is particularly suitable for converting real images into Oriental ink paintings with minimum interaction.
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