Culver City, CA, United States of America

Blake Lucas

This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Snap Inc.. Active years: 2026.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations by Blake Lucas in Object Tracking Technology

Introduction

Blake Lucas is an innovative inventor based in Culver City, CA. He has made significant contributions to the field of object tracking technology. His work focuses on reducing noise in object tracking data, which is crucial for various applications in computer vision and robotics.

Latest Patents

Blake Lucas holds a patent titled "Reducing object tracking noise with pose smoothing." This patent involves systems and methods for minimizing noise in object tracking data. The process begins with obtaining images of an object through one or more cameras. These images are then processed to derive first pose data that indicates the object's pose over time. The first pose data is represented in a camera space and is subsequently transformed into second pose data in a world space. A smoothing filter is applied to the second pose data to generate filtered pose data. This filtering process utilizes rotation transformations to apply camera space-specific filter parameters to the pose data items. Ultimately, the pose of the object is dynamically tracked based on the filtered pose data. Blake Lucas has 1 patent to his name.

Career Highlights

Blake Lucas is currently employed at Snap Inc., where he continues to develop innovative solutions in the realm of object tracking. His work is instrumental in enhancing the accuracy and reliability of tracking systems.

Collaborations

Some of his notable coworkers include Markus Diem and Thomas Muttenthaler, who contribute to the collaborative environment at Snap Inc.

Conclusion

Blake Lucas is a prominent inventor whose work in reducing object tracking noise has the potential to advance technology in various fields. His contributions are paving the way for more efficient and accurate tracking systems.

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