Collomosse John P, Rowntree David, Hall Peter M
Department of Computer Science, University of Bath, Claverton Down, Bath, BA2 7AY, UK.
IEEE Trans Vis Comput Graph. 2005 Sep-Oct;11(5):540-9. doi: 10.1109/TVCG.2005.85.
The contribution of this paper is a novel framework for synthesizing nonphotorealistic animations from real video sequences. We demonstrate that, through automated mid-level analysis of the video sequence as a spatiotemporal volume--a block of frames with time as the third dimension--we are able to generate animations in a wide variety of artistic styles, exhibiting a uniquely high degree of temporal coherence. In addition to rotoscoping, matting, and novel temporal effects unique to our method, we demonstrate the extension of static nonphotorealistic rendering (NPR) styles to video, including painterly, sketchy, and cartoon shading. We demonstrate how this novel coherent shading framework may be combined with our earlier motion emphasis work to produce a comprehensive "Video Paintbox" capable of rendering complete cartoon-styled animations from video clips.
本文的贡献在于提出了一个用于从真实视频序列合成非真实感动画的新颖框架。我们证明，通过将视频序列作为时空体（以时间为第三维度的一帧块）进行自动中级分析，我们能够生成各种艺术风格的动画，展现出独特的高度时间连贯性。除了我们方法特有的旋转描边、抠图和新颖的时间效果外，我们还展示了将静态非真实感渲染（NPR）风格扩展到视频，包括绘画风格、草图风格和卡通阴影。我们展示了如何将这个新颖的连贯阴影框架与我们早期的运动强调工作相结合，以产生一个全面的“视频画盒”，能够从视频剪辑中渲染完整的卡通风格动画。
