Company Filing History:
3 out of 3 Years Active: 2019-2025
Title: Innovations of John K Leffingwell
Introduction
John K Leffingwell is a notable inventor based in Madison, AL (US). He has made significant contributions to the field of technology, particularly in the area of scene processing. With a total of 4 patents to his name, Leffingwell's work has had a considerable impact on how digital scenes are represented and processed.
Latest Patents
One of Leffingwell's latest patents is focused on a codec for processing scenes of almost unlimited detail. This patent describes methods and apparatus for systems that utilize a scene codec, which can serve as either providers or consumers of multi-way, just-in-time, only-as-needed scene data. The system includes a plenoptic scene database containing digital models of scenes, allowing for the distributable representation and organization of these models across multiple systems. This innovative approach enables a collective representation of scenes with remarkable detail. Additionally, the system incorporates highly efficient means for processing these representations, ensuring a seamless user experience with minimal newly provided scene information.
Career Highlights
Leffingwell's career has been marked by his dedication to advancing technology through innovative solutions. His work at Quidient, LLC has allowed him to collaborate with other talented professionals in the field. His patents reflect a deep understanding of the complexities involved in scene processing and the importance of user experience.
Collaborations
Throughout his career, Leffingwell has worked alongside notable colleagues such as David Scott Ackerson and Donald J Meagher. These collaborations have contributed to the development of cutting-edge technologies and have furthered the impact of his inventions.
Conclusion
John K Leffingwell is a distinguished inventor whose work in scene processing has paved the way for advancements in technology. His innovative patents and collaborations highlight his commitment to enhancing user experiences through efficient scene representation.