Method and device for realizing augmented reality based on deep learning, and mobile terminal
A deep learning and augmented reality technology, applied in the field of computer applications, can solve problems such as single application scenarios and strong use limitations, and achieve the effect of expanding application scenarios and enhancing the ability of target detection
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[0050] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. The implementations described in the following exemplary examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of systems and methods consistent with aspects of the invention as recited in the appended claims.
[0051] figure 1 It is a flow chart of a method for implementing augmented reality based on deep learning according to an exemplary embodiment. The method for implementing augmented reality based on deep learning can be used in mobile terminals such as smart phones, smart homes, computers, and AR devices. Such as figure 1 As shown, the method for implementing augmented reality based on deep learning may include step S110, step S120, step S130, and step S140.
[0052] Step S110, separating the plane image from the depth image collected by the depth camera.
[0053] A ...
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