Fully-automatic face seamless synthesis-based video synthesis method

Abstract

The invention provides a fully-automatic face seamless synthesis-based video synthesis method. With the fully-automatic face seamless synthesis-based video synthesis method adopted, insufficient real-time property in high-definition video processing of a face detection algorithm in the prior art can be solved. The fully-automatic face seamless synthesis-based video synthesis method of the invention comprises the following steps that: a video communication application provided by an intelligent television terminal is utilized to perform video connection; an image or video file which is locally arranged or arranged in a cloud server is adopted as a background (BG) to be synthesized; face detection is respectively performed on data foreground (FG) and background (BG) data which are acquired by a camera through using the face detection algorithm, and geometric transformation coefficients are calculated through face internal key point positioning and facial contour lines or a face minimum bonding rectangle frame; and accurate registration from the foreground (FG) to the background (BG), and face region data synthesis can be accomplished. With the fully-automatic face seamless synthesis-based video synthesis method of the invention adopted, the face image of a user can be conveniently synthesized into any existing images or videos in the process of video communication, and therefore, a sense of science and technology and interestingness can be added in the video communication, and fully-automatic seamless face synthesis of non-specific people can be realized.

Description

technical field [0001] The invention relates to the field of high-definition video communication using smart TVs as terminals, in particular to a video synthesis method based on automatic face seamless synthesis. Background technique [0002] In the field of computer pattern recognition and artificial intelligence, face detection and synthesis technology has been widely used in human-machine interface, video conferencing, video surveillance, content retrieval, etc. Most face detection methods are more reliable in the statistical sense through a large number of sample training, expanding the detection range and improving the robustness of the detection system, but the detection is time-consuming and the real-time performance is relatively poor. Although a variety of classifier algorithms have been proposed in the prior art, there are still problems such as too many face features, and it takes too long to search for faces in the entire image, and when the result of any frame o...

AI Technical Summary

Problems solved by technology

[0003] The present invention proposes a video synthesis method based on automatic face seamless synthesis, which solves the problem of insufficient real-time performance of face detection algorithms in high-definition video processing in the prior art and the registration of facial features and synthesis of skin color in different states question

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