Cambridge, United Kingdom

Charles Thomas Hewitt

USPTO Granted Patents = 7 

Average Co-Inventor Count = 5.5

ph-index = 2

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2021-2025

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7 patents (USPTO):

Title: The Innovations of Charles Thomas Hewitt

Introduction

Charles Thomas Hewitt is a notable inventor based in Cambridge, GB. He has made significant contributions to the field of technology, particularly in image processing and neural networks. With a total of seven patents to his name, Hewitt's work continues to influence advancements in various applications.

Latest Patents

Hewitt's latest patents include groundbreaking innovations such as "Model fitting using keypoint regression." This patent describes a method where keypoints in an image are predicted as 2D random variables, normally distributed with specific locations and standard deviations. A neural network is trained to maximize log-likelihood, ensuring that the predicted keypoints align with ground truth data. This approach allows for the prediction of keypoints without the need for generating a heatmap. Another significant patent is "Face image generation with wrinkles," which details a process for computing images of faces with expressions that include wrinkles. This involves creating a 3D polygon mesh model of a face and utilizing a tension map to apply various textures, resulting in realistic facial expressions.

Career Highlights

Hewitt is currently employed at Microsoft Technology Licensing, LLC, where he continues to innovate and develop new technologies. His work at Microsoft has allowed him to collaborate with leading experts in the field, further enhancing his contributions to technology.

Collaborations

Some of his notable coworkers include Andreas Georgiou and Joel Steven Kollin. Their collaborative efforts have led to advancements in the projects they have worked on together.

Conclusion

Charles Thomas Hewitt's contributions to technology through his patents and work at Microsoft Technology Licensing, LLC highlight his role as a significant inventor in the field. His innovative approaches to image processing and neural networks continue to pave the way for future advancements.

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