This inventor holds 5 USPTO granted patents and 2 published patent applications and 1 EPO patent. Top assignees: Kabushiki Kaisha Toshiba, Microsoft Technology Licensing, LLC. Active years: 2017-2019.
Company Filing History:


Years Active: 2017-2019
Title: Sam Johnson: Innovator in 3D Body Representation and Image Analysis
Introduction
Sam Johnson is a notable inventor based in Cambridge, GB. He has made significant contributions to the fields of 3D body representation and image analysis. With a total of 5 patents to his name, Johnson's work has advanced the understanding and application of human body shape modeling.
Latest Patents
One of Johnson's latest patents is titled "Methods and systems for generating a three-dimensional representation of a human body shape." This innovative method involves generating a 3D representation from a depth image of a clothed human subject. The process includes identifying representative samples, determining a neighborhood of possible depth images, and fitting a parametric model to create an accurate 3D representation. Another significant patent is the "Image analysis method by analyzing point cloud using hierarchical search tree." This method focuses on object recognition and registration by organizing point cloud data into a hierarchical search tree, allowing for efficient geometric information extraction and comparison with a database of feature descriptors.
Career Highlights
Throughout his career, Sam Johnson has worked with prominent companies such as Toshiba and Microsoft Technology Licensing, LLC. His experience in these organizations has contributed to his expertise in technology and innovation.
Collaborations
Johnson has collaborated with talented individuals in his field, including Minh-Tri Pham and Frank Perbet. These partnerships have fostered a creative environment that has led to groundbreaking advancements in his projects.
Conclusion
Sam Johnson's contributions to the fields of 3D body representation and image analysis demonstrate his innovative spirit and technical expertise. His patents reflect a commitment to advancing technology and improving the understanding of human body modeling.