计算机科学
过程(计算)
加权
形状优化
核(代数)
工程制图
算法
数学
工程类
有限元法
结构工程
医学
操作系统
组合数学
放射科
作者
Noah Duncan,Lap-Fai Yu,Sai-Kit Yeung,Demetri Terzopoulos
摘要
Zoomorphic shapes are man-made shapes that possess the form or appearance of an animal. They have desirable aesthetic properties, but are difficult to create using conventional modeling tools. We present a method for creating zoomorphic shapes by merging a man-made shape and an animal shape. To identify a pair of shapes that are suitable for merging, we use an efficient graph kernel based technique. We formulate the merging process as a continuous optimization problem where the two shapes are deformed jointly to minimize an energy function combining several design factors. The modeler can adjust the weighting between these factors to attain high-level control over the final shape produced. A novel technique ensures that the zoomorphic shape does not violate the design restrictions of the man-made shape. We demonstrate the versatility and effectiveness of our approach by generating a wide variety of zoomorphic shapes.
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