Face-swapping technology has become more widely known in recent years. For instance, due to an issue with the original actor, a TV show recently had to replace the actor’s face with another actor. Across the board, the application of face-swapping technology in the video field is the most sophisticated and widespread.
With the popularity of this technology, it seems the world’s largest video games publisher, Tencent, is also interested in the area as it reportedly won a related patent. CNMO reported today that Tencent has recently obtained a patent authorization entitled: Method and device for replacing human faces in videos to be played. The patent, according to the report, can restore face orientation and expression.
Face-Swapping Technology is Tencent’s New Patent
The patent abstract outlines the general steps involved in putting the patented technology into practice: determining the first human face from the decoded frame data of the video that will be played; using the first human face’s key points as vertices in 3D modeling to create a 3D model; maintaining synchronization between the vertex coordinates of the 3D model and the first human face’s key point coordinates in the video that will be played; Get a second human face; texture the 3D model with the texture from the second face.
This will improve the video face replacement effect and allow for the restoration of elements like the face’s position and expression. This time’s patent authorization for a method and equipment for replacing human faces in playable videos can be regarded as a breakthrough in Tencent’s face replacement technology.
According to sources, this technology has a very wide range of potential applications. It can not only assist businesses in understanding the impact of face replacement but also offer more creative freedom and richer resources for video editing and other related sectors. The well-known Internet giant Tencent has always garnered attention for its technological innovation.
As a matter of fact, Artificial intelligence and computer vision technologies are projected to be employed in more industries in the future as they continue to grow, giving individuals a richer and more effective visual experience.