Rehovot, Israel

Lev Koushnir

USPTO Granted Patents = 1 

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2013

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1 patent (USPTO):Explore Patents

Title: Lev Koushnir: Innovator in Edge Neighborhood Descriptor Technology

Introduction

Lev Koushnir is a notable inventor based in Rehovot, Israel. He has made significant contributions to the field of image processing through his innovative patent. His work focuses on enhancing the understanding of edge detection in images, which is crucial for various applications in computer vision.

Latest Patents

Koushnir holds a patent for the "Edge Neighborhood Descriptor." This system is designed for generating an edge neighborhood descriptor that describes the surroundings of an interest point based on the closest edges. The invention includes a sector determiner, a closest edge determiner, and an edge neighborhood descriptor constructor. The sector determiner identifies N sectors surrounding the interest point, while the closest edge determiner finds the edge pixel closest to the interest point for each sector. The edge neighborhood descriptor constructor then creates the descriptor, ensuring that the radius of each sector is determined by the distance from the interest point to the closest edge pixel within that sector.

Career Highlights

Lev Koushnir is currently associated with Superfish Ltd., where he applies his expertise in image processing and computer vision. His innovative approach has positioned him as a valuable asset in the tech industry, particularly in the development of advanced image analysis tools.

Collaborations

Koushnir has worked alongside talented professionals such as Michael Chertok and Adi Pinhas. Their collaborative efforts have contributed to the advancement of technologies in their field.

Conclusion

Lev Koushnir's contributions to the field of image processing through his patent on the Edge Neighborhood Descriptor highlight his innovative spirit and technical expertise. His work continues to influence advancements in computer vision technology.

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