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Image processing method and device

An image processing and image technology, applied in the computer field, can solve problems such as large-area target capture

Active Publication Date: 2020-12-18
BEIJING BYTEDANCE NETWORK TECH CO LTD
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Problems solved by technology

In the process of image processing, objects with large areas are often easily captured and processed by convolutional neural networks.

Method used

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  • Image processing method and device
  • Image processing method and device
  • Image processing method and device

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Embodiment Construction

[0022] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, rather than to limit the invention. It should also be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings.

[0023] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0024] figure 1 An exemplary system architecture 100 to which embodiments of the image processing method or image processing apparatus of the present application can be applied is shown.

[0025] like figure 1 As shown, the system architecture 100 may include terminal devi...

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Abstract

The embodiment of the present application discloses an image processing method and device. A specific embodiment of the method includes: acquiring an image of a marked human face, wherein the ratio of the size of the marked frame of the human face to the size of the image is smaller than a preset ratio threshold; based on the image and the marking of the human face, the volume The convolutional neural network is trained to obtain the trained convolutional neural network. The training process includes: inputting the image into the convolutional neural network to obtain a feature image; based on the region generation network in the convolutional neural network, determining the candidate for the face In the feature image, determine the area corresponding to the candidate frame; expand the area to generate the target area in the feature image; obtain the features of the target area and input them into the fully connected layer of the convolutional neural network. The convolutional neural network trained in the embodiments of the present application can detect faces in images more quickly and accurately.

Description

technical field [0001] The embodiments of the present application relate to the field of computer technology, specifically to the field of Internet technology, and in particular to an image processing method and device. Background technique [0002] Convolutional Neural Networks are multi-layered neural networks that are good at processing images. In the process of image processing, objects with large areas are often easily captured and processed by convolutional neural networks. Smaller objects in the image are easily ignored by the convolutional neural network. When the face presented in the image is small, it is not easy to be detected by the convolutional neural network. Contents of the invention [0003] Embodiments of the present application provide an image processing method and device. [0004] In the first aspect, an embodiment of the present application provides an image processing method, including: acquiring an image of an annotated human face, wherein the r...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/172G06V40/161G06V40/168G06F18/2413
Inventor 胡耀全
Owner BEIJING BYTEDANCE NETWORK TECH CO LTD
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