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A rough to fine hand detection method using deep neural networks

机译:使用深度神经网络的从粗糙到精细的手检测方法

摘要

A detection process is provided for recognizing one or more regions of an image that include one or more hands of one or more objects. The detection process uses a rough positioning network to roughly position one or more segments in the image that include the part (s) of the object (s) of interest in the image. You can start with The detection process can then combine these segments to obtain one or more regions that capture the hand (s) of interest in the image (s). The combined region (s) is then fed to a mesh-based deep neural network to capture only the captured hand (s) of the captured object (s) in the image. The containing region (s) can be finely detected.
机译:提供一种检测过程,用于识别图像的一个或多个区域,该区域包括一个或多个物体的一个或多个手。该检测过程使用粗略的定位网络来粗略地定位图像中的一个或多个片段,这些片段包括图像中感兴趣对象的一部分。您可以开始进行检测。然后,检测过程可以组合这些片段以获得一个或多个捕获图像中感兴趣的手的区域。然后将组合的区域馈送到基于网格的深度神经网络,以仅捕获图像中捕获的对象的捕获的手。可以精确地检测到包含区域。

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