Lin Zhouchen, Wang Lifeng, Wang Yunbo, Kang Sing Bing, Fang Tian
IEEE Trans Vis Comput Graph. 2007 May-Jun;13(3):562-568. doi: 10.1109/TVCG.2007.1005.
Current techniques for generating animated scenes involve either videos (whose resolution is limited) or a single image (which requires a significant amount of user interaction). In this paper, we describe a system that allows the user to quickly and easily produce a compelling-looking animation from a small collection of high resolution stills. Our system has two unique features. First, it applies an automatic partial temporal order recovery algorithm to the stills in order to approximate the original scene dynamics. The output sequence is subsequently extracted using a second-order Markov Chain model. Second, a region with large motion variation can be automatically decomposed into semiautonomous regions such that their temporal orderings are softly constrained. This is to ensure motion smoothness throughout the original region. The final animation is obtained by frame interpolation and feathering. Our system also provides a simple-to-use interface to help the user to fine-tune the motion of the animated scene. Using our system, an animated scene can be generated in minutes. We show results for a variety of scenes.
当前生成动画场景的技术要么涉及视频（其分辨率有限），要么涉及单个图像（这需要大量用户交互）。在本文中，我们描述了一种系统，该系统允许用户从一小部分高分辨率静止图像中快速轻松地生成引人注目的动画。我们的系统有两个独特的特点。首先，它对静止图像应用自动部分时间顺序恢复算法，以近似原始场景动态。随后使用二阶马尔可夫链模型提取输出序列。其次，具有大运动变化的区域可以自动分解为半自主区域，使得它们的时间顺序受到软约束。这是为了确保整个原始区域的运动平滑。最终动画通过帧插值和羽化获得。我们的系统还提供了一个易于使用的界面，以帮助用户微调动画场景的运动。使用我们的系统，可以在几分钟内生成一个动画场景。我们展示了各种场景的结果。
