Cambridge, United Kingdom

Minh-Tri Pham

This inventor holds 8 USPTO granted patents and 2 published patent applications and 1 EPO patent. Top assignee: Kabushiki Kaisha Toshiba. Active years: 2014-2019.

USPTO Granted Patents = 8 

% Patents Active = 50.0

 

Average Co-Inventor Count = 5.0

ph-index = 2

Forward Citations = 10(Granted Patents)


Company Filing History:


Years Active: 2014-2019

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8 patents (USPTO):Explore Patents

Title: Minh-Tri Pham: Innovator in 3D Modeling Technologies

Introduction

Minh-Tri Pham is a prominent inventor based in Cambridge, GB. He has made significant contributions to the field of three-dimensional modeling, particularly in generating representations of human body shapes. With a total of 8 patents to his name, his work is at the forefront of innovation in this area.

Latest Patents

Among his latest patents, Minh-Tri Pham has developed methods and systems for generating a three-dimensional representation of a human body shape. This method involves identifying representative samples from pre-calculated data, determining a neighborhood of possible depth images, and generating a parametric model to create an accurate 3D representation. Another notable patent focuses on generating a three-dimensional model of a subject by iteratively creating meshes from point cloud data, allowing for precise modeling based on user inputs.

Career Highlights

Minh-Tri Pham is currently employed at Toshiba Corporation, where he continues to push the boundaries of technology in 3D modeling. His innovative approaches have garnered attention in both academic and commercial sectors, showcasing his expertise in the field.

Collaborations

Throughout his career, Minh-Tri has collaborated with notable professionals such as Frank Perbet and Bjorn Stenger. These collaborations have further enriched his work and contributed to the advancement of technologies in 3D modeling.

Conclusion

Minh-Tri Pham stands out as a leading inventor in the realm of three-dimensional modeling technologies. His innovative patents and contributions to the field continue to shape the future of how we represent and understand human body shapes in digital formats.

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