Image and video based painterly animation
Image and video based painterly animation
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DOI：
10.1145/987657.987676
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发表时间：
2004-06
期刊：
影响因子：
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通讯作者：
James Hays;Irfan Essa
中科院分区：
文献类型：
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作者：
James Hays;Irfan Essa
我们提出了将图像和视频转换为绘画动画描绘不同的艺术风格的技术。我们的技术依赖于图像和视频分析来计算外观和运动属性。我们还确定和应用运动信息从不同的（用户指定的）来源的静态和动态图像。这些编码时空变化的属性然后用于渲染（或绘制）所选样式的效果，以生成具有绘制外观的图像和视频。使用具有动态时空属性的画笔笔划对象的网格生成绘画式动画。样式控制这些画笔笔划的行为以及它们在虚拟画布上的呈现。我们提出了根据输入图像，视频或运动修改这些画笔笔划的属性的方法。画笔笔划颜色、长度、方向、不透明度和运动被确定，并且画笔笔划被重新生成以在视频改变时填充画布。所有画笔笔划属性都受到时间约束，以保证时间上连贯的非照片级真实感动画。
We present techniques for transforming images and videos into painterly animations depicting different artistic styles. Our techniques rely on image and video analysis to compute appearance and motion properties. We also determine and apply motion information from different (user-specified) sources to static and moving images. These properties that encode spatio-temporal variations are then used to render (or paint) effects of selected styles to generate images and videos with a painted look. Painterly animations are generated using a mesh of brush stroke objects with dynamic spatio-temporal properties. Styles govern the behavior of these brush strokes as well as their rendering to a virtual canvas. We present methods for modifying the properties of these brush strokes according to the input images, videos, or motions. Brush stroke color, length, orientation, opacity, and motion are determined and the brush strokes are regenerated to fill the canvas as the video changes. All brush stroke properties are temporally constrained to guarantee temporally coherent non-photorealistic animations.