Location History:
- Pittsburgh, PA (US) (2011 - 2013)
- Atlanta, GA (US) (2016 - 2019)
- New York, NY (US) (2020 - 2023)
Company Filing History:
Years Active: 2011-2023
Title: Uriel Gerardo Rodriguez: Innovator in Image Optimization for Facial Recognition
Introduction
Uriel Gerardo Rodriguez is a prominent inventor based in New York, NY (US), known for his significant contributions to the field of image optimization, particularly in facial recognition technology. With a total of seven patents to his name, Rodriguez has developed innovative techniques that enhance the accuracy and efficiency of facial detection systems.
Latest Patents
One of Rodriguez's latest patents focuses on image optimization during facial recognition. This patent describes a technique for optimizing an image for facial detection by predicting the location of a face within an image. The process involves adjusting image settings based on at least a portion of the predicted location of the face. An image may be modified according to the characteristics of a metering region, which is selected prior to performing facial detection. For instance, the metering region can be a specified shape with dimensions equal to a certain percentage of the input image and placed at a designated location. The result of utilizing such a metering region is that the image adjustments can be based on a portion of the face, thereby optimizing the image for facial detection.
Career Highlights
Throughout his career, Uriel Gerardo Rodriguez has worked with notable companies, including Google Inc. and Pittsburgh Pattern Recognition, Inc. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking advancements in technology.
Collaborations
Rodriguez has collaborated with several talented individuals in the field, including Henry Will Schneiderman and Michael Nechyba. These collaborations have further enriched his work and expanded the impact of his innovations.
Conclusion
Uriel Gerardo Rodriguez is a key figure in the realm of image optimization for facial recognition, with a proven track record of innovation and collaboration. His contributions continue to shape the future of technology in this critical area.