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For the Inventor, By the Inventor

San Francisco, CA, United States of America

Thorsten Gernoth

USPTO Granted Patents = 23 


Average Co-Inventor Count = 4.5

ph-index = 4

Forward Citations = 53(Granted Patents)


Location History:

  • Cupertino, CA (US) (2018 - 2020)
  • San Francisco, CA (US) (2019 - 2024)

Company Filing History:

goldMedal23 out of 40,816 
 
Apple Inc.
 patents

Years Active: 2018-2025

where 'Filed Patents' based on already Granted Patents

23 patents (USPTO):
1. 12475573 - Dynamic keyframing in object centric pose estimation (2025-11-18),
2. 12394145 - Feedback using coverage for object scanning (2025-08-19),
3. 12283020 - Systems, methods, and user interfaces for generating a three-dimensional virtual representation of an object (2025-04-21),
4. 12002227 - Deep partial point cloud registration of objects (2024-06-04),
5. 11915460 - Machine learning assisted image prediction (2024-02-27),
6. 11868455 - Biometric authentication techniques (2024-01-09),
7. 11693937 - Automatic retries for facial recognition (2023-07-04),
8. 11561621 - Multi media computing or entertainment system for responding to user presence and activity (2023-01-24),
9. 11521423 - Occlusion detection for facial recognition processes (2022-12-06),
10. 11386355 - Machine learning assisted image prediction (2022-07-12),
11. 11151235 - Biometric authentication techniques (2021-10-19),
12. 10929515 - Biometric authentication techniques (2021-02-23),
13. 10896318 - Occlusion detection for facial recognition processes (2021-01-19),
14. 10769414 - Robust face detection (2020-09-08),
15. 10762335 - Attention detection (2020-09-01),

Title: Innovator Spotlight: Thorsten Gernoth

Introduction: Thorsten Gernoth is a prominent inventor based in San Francisco, California, known for his significant contributions to the field of technology. With a remarkable portfolio of 20 patents, Gernoth has established himself as a leading figure in innovation, particularly in the realm of three-dimensional imaging and machine learning.

Latest Patents: Among his latest patents is the "Deep partial point cloud registration of objects." This innovative method involves obtaining two sets of three-dimensional (3D) points corresponding to an object from different coordinate systems and utilizing a machine learning model to predict their locations in a unified coordinate system. Another cutting-edge patent by Gernoth focuses on "Machine learning assisted image prediction," where a device uses infrared images and reference RGB images to provide predicted RGB images of subjects, significantly enhancing imaging technology.

Career Highlights: Thorsten Gernoth currently works at Apple Inc., where he leverages his expertise to drive technological advancements. His inventions are vital in improving how devices interpret and display images, showcasing the integration of machine learning in practical applications. Over his career, he has not only filed numerous patents but has also contributed to the development of various technologies that enhance user experiences across multiple platforms.

Collaborations: Gernoth collaborates with esteemed coworkers, including Feng Tang and Kelsey Yukio Ho, who bring their own expertise to various projects within Apple Inc. Their collaborative efforts are instrumental in innovating and refining technologies that impact the industry.

Conclusion: Thorsten Gernoth’s work is a testament to the power of innovation and the importance of intellectual property in fostering technological advancements. As he continues to push boundaries in imaging technology and machine learning, his contributions will undoubtedly leave a lasting impact on the field. Through his patents, Gernoth exemplifies the spirit of invention that drives progress in the modern world.

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