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 一篇非常难以理解的youtube科技视频！ |
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山东斯汀
[博客]
[个人文集]
头衔: 海归准将
声望: 学员
性别:  年龄: 51
加入时间: 2005/09/14
文章: 679
来自: 某国驻华使馆
海归分: 106854
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作者：山东斯汀 在 海归酒吧 发贴, 来自【海归网】 http://www.haiguinet.com
3D morphable model face animation /8/14听写作业
观看地址：https://www.youtube.com/watch?v=nice6NYb_WA&mode=related&search=
下载地址：https://74.125.15.16/get_video?video_id=nice6NYb_WA
3D morphable~~~very cool~~~first draft DEADWALKING
08.14 18:13
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The morphable face model is derived from a dataset of 200 colored 3D scans of faces. Individual faces are combined into a single morphable model by computing dense, point-to-point correspondences to a reference face. A modified optic flow algorism establishes 3D correspondences automatically. The morphable model combines 3D shape and texture information of all example faces into one vector space of faces. We can form arbitrary linear combinations of the examples and generate continuous transitions.
Starting from the average face, individual original faces are caricatured by increasing their distance from the average. Forming the average for male and female faces separately, the distance can be added to, or subtracted from an individual face to change the perceived gender. Other facial attributes, such as the fullness of a face, can be manipulated in a similar way. From a labeled set of faces, the characteristic changes are extracted automatically. In our model, they’re controlled by a single perimeter. Differences in facial expressions captured from another face can be mapped to any individual.
We now reconstruct 3D-shape and texture in order to animate a face given only a single photograph of a person. First we manually align the average face to the target image. Roughly estimating position, size, orientation and illumination. Then a fully automated algorism finds the best reconstruction of the face within the morphable model. 3D shape and texture are optimized along with perimeter such as size, orientation and color contrast. The output is a high resolution 3D mesh of the face. It is an estimate of 3D shape and surface colors based on the single image. Additional texture extraction improves details in texture. The reconstruction can now be rendered into the image and a whole range of facial variations can now be applied. Here we simulate weight gain and weight loss. Facial expression can be post processed in images forcing a face to frown or to smile. From this image, we also estimated 3D shape and texture, and combined the graph with 3D computer graphics. Cast shadows of novel objects are rendered correctly into the scene. Illumination conditions can be changed and pose can be vary to some extent. From a single black and white image, we obtain a full estimate of 3D shape. The result of the matching procedure includes an estimate of surface color since the morphable model contains color information. Finally, we show the application of our model to a painting.
我的听写群里有50位留学生，率先听写完的竟然是一位只有15岁的小姑娘！
作者：山东斯汀 在 海归酒吧 发贴, 来自【海归网】 http://www.haiguinet.com
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 一篇非常难以理解的youtube科技视频！ -- 山东斯汀 - (2866 Byte) 2007-8-15 周三, 22:48 (809 reads)
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