Face Alignment With Deep Regression.

IEEE Transactions on Neural Networks and Learning Systems(2018)

引用 47|浏览43
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摘要
In this paper, we present a deep regression approach for face alignment. The deep regressor is a neural network that consists of a global layer and multistage local layers. The global layer estimates the initial face shape from the whole image, while the following local layers iteratively update the shape with local image observations. Combining standard derivations and numerical approximations, w...
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关键词
Shape,Face,Feature extraction,Estimation,Computational modeling,Learning systems,Deformable models
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