Beijing, China

Fangkun Wang


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2017

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1 patent (USPTO):Explore Patents

Title: Fangkun Wang: Innovator in Image Processing Technology

Introduction

Fangkun Wang is a notable inventor based in Beijing, China. He has made significant contributions to the field of image processing, particularly through his innovative methods for detecting interest points in images. His work addresses critical challenges in the industry, such as memory consumption and detection speed.

Latest Patents

Fangkun Wang holds a patent for a "Method and device for detecting interest points in image." This invention provides a systematic approach to identifying interest points by acquiring an original input image, down-sampling it to create multiple sampling images with varying resolutions, and dividing these images into smaller blocks. The method employs Laplacian-of-Gaussian filters to process these blocks sequentially, ultimately leading to the acquisition of interest points in the filtered images. This invention is particularly valuable for enhancing detection speed while minimizing memory usage.

Career Highlights

Fangkun Wang is affiliated with Peking University, where he continues to advance his research and development in image processing technologies. His academic background and ongoing projects contribute to the university's reputation as a leading research institution in China.

Collaborations

Fangkun has collaborated with notable colleagues, including Lingyu Duan and Jie Chen, who share his passion for innovation in technology. Their combined expertise fosters a productive research environment that encourages the development of cutting-edge solutions.

Conclusion

Fangkun Wang's contributions to image processing technology exemplify the impact of innovative thinking in solving complex problems. His patent and ongoing work at Peking University highlight his commitment to advancing the field and improving detection methods in image analysis.

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