Sung-Kwan Je

Title: Innovations of Sung-Kwan Je in Visual Descriptor Extraction

Introduction

Sung-Kwan Je is a notable inventor based in Daejeon, South Korea. He has made significant contributions to the field of image processing and feature extraction, holding a total of 2 patents. His work focuses on developing methods and systems that enhance the extraction of visual descriptors from images.

Latest Patents

Sung-Kwan Je's latest patents include a "Method of extracting visual descriptor using feature selection and system for the same." This invention provides a comprehensive system that includes an image input unit, a candidate feature point group detecting unit, a feature point selecting unit, a dominant orientation calculating unit, and a visual descriptor extracting unit. Each component plays a crucial role in detecting and selecting feature points based on their importance, ultimately leading to the extraction of visual descriptors tailored to specific characteristics.

Another significant patent is the "Scalable feature descriptor extraction and matching method and system." This method involves receiving an image, identifying feature points based on pixel statistical changes, and extracting patches centered on these points. The process includes calculating statistical values and morphological gradients to derive feature descriptors that meet the required complexity.

Career Highlights

Sung-Kwan Je is affiliated with the Electronics and Telecommunications Research Institute, where he continues to innovate in the field of image processing. His work has been instrumental in advancing the technology used for visual descriptor extraction, making it more efficient and effective.

Collaborations

Throughout his career, Sung-Kwan Je has collaborated with esteemed colleagues such as Keun-Dong Lee and Weon-Geun Oh. These collaborations have contributed to the development of advanced methodologies in feature extraction and image processing.

Conclusion

Sung-Kwan Je's contributions to the field of image processing through his innovative patents demonstrate his expertise and commitment to advancing technology. His work continues to influence the way visual descriptors are extracted and utilized in various applications.