Xiaochun Cui

Title: Innovations of Xiaochun Cui in Image Processing Technologies

Introduction

Xiaochun Cui is a prominent inventor based in Shenzhen, China. He has made significant contributions to the field of image processing technologies, holding a total of 7 patents. His work focuses on improving image rendering methods and apparatuses, which have applications in various electronic devices.

Latest Patents

Cui's latest patents include a lightmap updating method and apparatus, as well as an image rendering method and related apparatus. The lightmap updating method discloses an innovative approach to image rendering by acquiring a lightmap of a target three-dimensional model in response to a light rendering instruction. This method identifies the seam edge of the model and updates the pixel value of the target pixel in the lightmap, allowing for automatic recognition and repair of seam problems. This innovation reduces labor resources and enhances image rendering efficiency.

The image rendering method involves obtaining both low-resolution and high-resolution shadow maps of a target virtual object. By determining a texel range and performing scaling processing, this method improves the efficiency of image rendering while avoiding edge aliasing. The advancements made by Cui in these areas significantly enhance the overall image rendering effect.

Career Highlights

Xiaochun Cui has worked with notable companies such as Tencent Technology (Shenzhen) Company Limited and Huawei Technologies Co., Limited. His experience in these leading technology firms has contributed to his expertise in image processing and rendering technologies.

Collaborations

Cui has collaborated with talented individuals in his field, including Congbing Li and Sihai Ye. These collaborations have likely fostered innovation and creativity in his projects.

Conclusion

Xiaochun Cui's contributions to image processing technologies through his patents and career experiences highlight his role as a significant inventor in the industry. His innovative methods continue to improve image rendering efficiency and effectiveness.