Hachiooji, Japan

Hajime Noto

USPTO Granted Patents = 4 

Average Co-Inventor Count = 3.4

ph-index = 1

Forward Citations = 4(Granted Patents)


Location History:

  • Hachiooji, JP (2008)
  • Musashino, JP (2023 - 2024)

Company Filing History:


Years Active: 2008-2025

Loading Chart...
4 patents (USPTO):Explore Patents

Title: Hajime Noto - Innovator in Object Keypoint Separation Technology

Introduction

Hajime Noto, a Japanese inventor based in Hachiooji, has made significant contributions to the field of image processing and computer vision. With a portfolio of four patents, his work focuses on developing innovative solutions that enhance object recognition technology.

Latest Patents

Noto's latest patents delve into advanced methodologies for separating feature points of objects in captured images. The first patent involves an apparatus that utilizes a pre-trained model to generate first and second maps from input images. This technology aims to improve the identification of keypoints and their connection relationships around the object. The second patent introduces a weighted mask generating apparatus that addresses the displacement amounts of feature points on face shapes, enabling more accurate facial recognition and deformation modeling.

Career Highlights

Hajime Noto is currently employed at Nippon Telegraph and Telephone Corporation, where he continues to push the boundaries of innovation in image processing. His work demonstrates a deep understanding of computer vision, significantly contributing to advancements in how machines interpret visual data.

Collaborations

Throughout his career, Noto has collaborated with notable colleagues, including Masaaki Matsumura and Hideaki Kimata. These partnerships have been instrumental in furthering research and development in the technologies that underpin his patents.

Conclusion

Hajime Noto stands out as an influential inventor in the realm of feature point separation technology. His patents not only reflect his ingenuity but also have the potential to transform applications in computer vision. As he continues to innovate, Noto’s contributions will undoubtedly shape the future of image processing technologies.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…