Rotation Invariant Neural Network-Based Face Detection
نویسندگان
چکیده
The system (see Figure 2) uses a neural network, called a “router”, to analyze each window of the input before it is processed by a “detector” network. If the window contains a face, the router returns the angle of the face. The window can then be “derotated” to make the face upright. The derotated window is then passed to the detection network, which decides whether a face is present. If a non-face image is encountered, the router will return a meaningless rotation.
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