Sang-Il Na

Title: **Innovative Contributions of Inventor Sang-Il Na**

Introduction

Sang-Il Na, an esteemed inventor based in Daejeon, South Korea, has made significant strides in the field of image processing and feature extraction. With a focus on enhancing visual descriptor technology, he holds a notable patent that contributes to advancements in this area.

Latest Patents

Sang-Il Na’s patent, titled "Method of extracting visual descriptor using feature selection and system for the same," presents a novel approach to extracting visual descriptors through feature selection. This innovative method involves a comprehensive system that comprises several key components: an image input unit for receiving images, a candidate feature point group detecting unit for identifying local maxima or minima in scale-space images, and a feature point selecting unit that assesses the importance of candidate feature points. If a feature point's importance surpasses a predetermined threshold, it is selected as a prominent feature. Additionally, the system includes a dominant orientation calculating unit and a visual descriptor extracting unit, which work together to accurately extract and represent visual information.

Career Highlights

Sang-Il Na is associated with the Electronics and Telecommunications Research Institute, where he has dedicated his efforts to developing cutting-edge technologies that facilitate advancements in telecommunications and electronic imaging. His work demonstrates a commitment to innovation and research, contributing significantly to his field.

Collaborations

Sang-Il Na has collaborated with colleagues Keun-Dong Lee and Seung-Jae Lee, further enhancing the scope and impact of his research. Together, they contribute to the ongoing exploration of image processing techniques and their applications in various domains.

Conclusion

Through his innovative patent and collaborative efforts, Sang-Il Na exemplifies the spirit of invention in the rapidly evolving field of technology. His work not only enhances our understanding of visual descriptors but also sets a foundation for future advancements in image processing and telecommunications.