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Capturing hair assemblies fiber by fiber

机译:通过纤维捕获毛发组件纤维

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Hair models for computer graphics consist of many curves representing individual hair fibers. In current practice these curves are generated by ad hoc random processes, and in close-up views their arrangement appears plainly different from real hair. To begin improving this situation, this paper presents a new method for measuring the detailed arrangement of fibers in a hair assembly. Many macrophotographs with shallow depth of field are taken of a sample of hair, sweeping the plane of focus through the hair's volume. The shallow depth of field helps isolate the fibers and reduces occlusion. Several sweeps are performed with the hair at different orientations, resulting in multiple observations of most of the clearly visible fibers. The images are filtered to detect the fibers, and the resulting feature data from all images is used jointly in a hair growing process to construct smooth curves along the observed fibers. Finally, additional hairs are generated to fill in the unseen volume inside the hair. The method is demonstrated on both straight and wavy hair, with results suitable for realistic close-up renderings. These models provide the first views we know of into the 3D arrangement of hair fibers in real hair assemblies.
机译:计算机图形的毛发模型包括代表单个毛纤维的许多曲线。在目前的实践中,这些曲线由Ad Hoc随机过程产生,并且在特写视图中,它们的布置显然与真正的头发不同。为了开始改善这种情况,本文提出了一种用于测量头发组件中纤维的详细布置的新方法。许多具有浅景深的宏观摄影仪拍摄了一种头发样本,通过头发的体积扫过焦点。浅景深有助于分离纤维并减少闭塞。在不同取向的头发上进行几次扫描,导致大多数清晰可见纤维的多个观察结果。滤波图像以检测光纤,并且来自所有图像的所得特征数据在头发生长过程中共同使用,以构建观察到的纤维的平滑曲线。最后,产生额外的毛发以填充头发内的看不见的体积。该方法在直线和波纹的头发上进行说明,结果适用于现实的特写效果。这些模型提供了我们知道真正的头发组件中的头发纤维的3D布置的第一个视图。

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