China Tower has been granted a patent for a method and apparatus that automates lip makeup application in portrait images. The process involves extracting lip key points, detecting facial orientation and lip shape, selecting lipstick colors based on skin hue, and performing fusion coloring accordingly. GlobalData’s report on China Tower gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on China Tower, V2V communication antennas was a key innovation area identified from patents. China Tower's grant share as of July 2024 was 41%. Grant share is based on the ratio of number of grants to total number of patents.
Automated method for digital lip makeup application
The patent US12067658B1 outlines a method for automatically applying lipstick to portrait images. The process begins with extracting key points of the lips from a facial image, followed by detecting the orientation of the face and the shape of the lips. The method adjusts the positions of these key points based on the detected orientation and lip shape. Additionally, it involves analyzing the skin hue and color of the facial area to select an appropriate lipstick color from a pre-defined library. The final step includes performing fusion coloring using the selected lipstick color, ensuring that the application aligns with the adjusted lip key points.
The claims detail specific techniques for adjusting lip key points based on various orientations and lip shapes, including front-facing and side-leaning positions. For instance, when the lips are closed and the face is front-facing, the method identifies the darkest pixel points in a designated area to determine the new position of the lip corners. In cases where the lips are open, edge detection is employed to find reference points that help in adjusting the lip corners accurately. The patent also describes how skin hue is classified into cool, warm, or neutral categories based on calculated coefficients, which aids in selecting the most suitable lipstick color. Overall, the method integrates image processing techniques to enhance the realism of virtual lip makeup applications.
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