Generation method and device of cartoon face image and computer storage medium
A face image and cartoon face technology, applied in the field of image processing, can solve the problems of deformation of cartoon face images, reduce the similarity between cartoon face images and real faces, reduce the operability of cartoon face images, etc., and achieve Improve operability and improve the effect of similarity
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no. 1 example
[0041] This embodiment will be described from the perspective of the terminal.
[0042] Refer to Figure 2a And combine Figure 2b In this embodiment, the method for generating cartoon face images may include the following steps:
[0043] 201. Obtain a face image to be processed.
[0044] The image to be processed may be an image containing a real human face, and the input image may be directly used as the image to be processed, or the input image may also be processed to obtain the image to be processed. In an implementation manner, obtaining the image to be processed may include the following steps (11) to (13):
[0045] (11) Obtain the input image. The input image may be, for example, a photo taken by the user, or a photo selected by the user from an album, or a photo downloaded from the Internet, or the like.
[0046] (12) Use the fully convolutional neural network model to identify the human body region in the input image.
[0047] Fully Convolutional Networks (FCN) can be used to...
no. 2 example
[0158] This embodiment provides a cartoon face image generating device, wherein the cartoon face image generating device may be integrated in a terminal as a whole, or may be a system including a server and a terminal. This embodiment will be described by taking the generation device integrated in the terminal as an example.
[0159] See Picture 11 , The cartoon face image generating device of this embodiment includes a first acquisition module 1101, a recognition module 1102, a second acquisition module 1103, an adjustment module 1104, and a generation module 1105.
[0160] The first obtaining module 1101 is used to obtain a face image to be processed. Specifically, the first acquisition module 1101 can be used to acquire the input image, and then use the fully convolutional neural network model to identify the human body area in the input image, remove the background area except the human body area in the input image, and then obtain the person to be processed Face image. The ...
no. 3 example
[0186] Correspondingly, the embodiment of the present invention also provides a terminal, such as Figure 13 As shown, the terminal may include a radio frequency (RF, Radio Frequency) circuit 1301, a memory 1302 including one or more computer-readable storage media, an input unit 1303, a display unit 1304, a sensor 1305, an audio circuit 1306, and wireless fidelity The (WiFi, Wireless Fidelity) module 1307 includes a processor 1308 with one or more processing cores, a power supply 1309 and other components. Those skilled in the art can understand, Figure 13 The terminal structure shown in does not constitute a limitation on the terminal, and may include more or fewer components than shown in the figure, or a combination of some components, or a different component arrangement. among them:
[0187] The RF circuit 1301 can be used for receiving and sending signals in the process of sending and receiving information or talking. In particular, after receiving the downlink informat...
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