Trebor Lee Connell

Title: Trebor Lee Connell: Innovator in Multi-Spectral Rendering and Machine Learning

Introduction

Trebor Lee Connell is a notable inventor based in Seattle, WA, who has made significant contributions to the fields of multi-spectral rendering and machine learning. With a total of five patents to his name, Connell's work focuses on leveraging advanced technologies to enhance digital asset management and training data generation.

Latest Patents

Connell's latest patents include innovative systems and methods for multi-spectral rendering for synthetics. This technology utilizes rendering engines to perform multi-spectral rendering by reusing color channels for additional spectral bands. A digital asset represented by a three-dimensional (3D) mesh can be rendered using various material spectral band data sets, allowing for the creation of a comprehensive multi-spectral rendering. This rendering can be utilized as part of a synthetics service or operation, enhancing the management of asset material information.

Another significant patent involves generating training data for machine learning classifiers. In this process, data representing a scene is received, which includes labeled elements such as walls, floors, ceilings, and various objects. The original scene can be modified in numerous ways to create new scenes, which can then be used to generate labeled training data for classifiers. This innovative approach allows for the effective training of machine learning models by simulating diverse environments.

Career Highlights

Connell is currently employed at Microsoft Technology Licensing, LLC, where he continues to develop and refine his innovative ideas. His work at Microsoft has positioned him at the forefront of technological advancements in rendering and machine learning.

Collaborations

Connell collaborates with talented individuals such as Michael Ebstyne and Emanuel Shalev, contributing to a dynamic and innovative work environment.

Conclusion

Trebor Lee Connell's contributions to multi-spectral rendering and machine learning exemplify the impact of innovation in technology. His patents not only advance the field but also enhance the capabilities of digital asset management and machine learning applications.