China Tower has been granted a patent for a method that converts a 3D model texture map into a 2D texture map. The process involves determining a target plane, obtaining key point sets, calculating Laplace coordinates, and inserting texture maps based on a preset algorithm. GlobalData’s report on China Tower gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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 June 2024 was 41%. Grant share is based on the ratio of number of grants to total number of patents.

3d model texture map conversion method

Source: United States Patent and Trademark Office (USPTO). Credit: China Tower Corp Ltd

The patent US12045926B1 outlines a method and device for converting a three-dimensional (3D) model texture map into a two-dimensional (2D) texture map. The process begins by determining a target plane using coordinates from multiple initial key points, which are boundary vertices of the 3D model's faces. For each initial key point, a corresponding key point set is obtained, including the coordinates of the initial key point and its neighboring points. The method involves calculating Laplace coordinates for each initial key point on the target plane, followed by the insertion of a texture map for each face into the target plane based on a preset algorithm and the calculated Laplace coordinates.

Further details of the method include determining projection planes and projection coordinates for the key point sets, which aid in calculating the Laplace coordinates. The process also involves obtaining global and local normal vectors, creating a rotation matrix, and applying a Laplace equation to derive the final Laplace coordinates. Additionally, the patent describes a device equipped with a memory and processor that executes the conversion program, as well as a computer-readable storage medium containing the program. This innovation aims to enhance the efficiency and accuracy of converting 3D model textures into a usable 2D format, which is essential for various applications in computer graphics and modeling.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.