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FAST AND PRECISE OBJECT ALIGNMENT AND 3D SHAPE RECONSTRUCTION FROM A SINGLE 2D IMAGE
FAST AND PRECISE OBJECT ALIGNMENT AND 3D SHAPE RECONSTRUCTION FROM A SINGLE 2D IMAGE
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机译:通过单个2D图像进行快速,精确的对象对齐和3D形状重建
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摘要
The innovation describes and discloses systems and methods related to deep neural networks employing machine learning to detect item 2D landmark points from a single image, such as those of an image of a face, and to estimate their 3D coordinates and shape rapidly and accurately. The system also provides for mapping by a feed-forward neural network that defines two criteria, one to learn to detect important shape landmark points on the image and another to recover their depth information. An aspect of the innovation may utilize camera models in a data augmentation approach that aids machine learning of a complex, non-linear mapping function. Other augmentation approaches are also considered.
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