通过检测摄像机运动自动生成分层精灵的算法

K. Jinzenji, S. Ishibashi, H. Kotera
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引用次数: 18

摘要

我们阐明了运动向量(两个参数)和所有摄像机运动(即缩放、旋转和平移)之间的关系。所有摄像机运动都被描述为Hermart变换系数。在去除摄像机运动的缩放和旋转因子后,平移因子代表真实三维世界的深度。因此,我们提出了一种新的精灵模型,该模型由垂直于深度方向的平面组成。使用这个精灵模型,任何背景反射任何相机运动都会创建精灵。我们的仿真结果显示了清晰的精灵和清晰的合成图像。原始图像与合成图像的相关系数大于0.7。这表明所创建的精灵适合于预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Algorithm for automatically producing layered sprites by detecting camera movement
We clarify the relationship between motion vectors (two parameters) and all camera motion, namely scaling, rotation and translation. All camera motions are described as Hermart transform coefficients. After all scaling and rotation factors of camera motion are removed, translation factors represent the depth of real three dimensional world. So we proposed a new sprite model, which is consist of planes vertical towards the depth direction. Using this sprite model, any background reflecting any camera motion creates sprites. Our simulation results show clear sprites and a clear synthesized image. The correlation between the original image and the synthesized image is more than 0.7. That indicates that the created sprites are suitable for prediction.
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