Company Filing History:
Years Active: 2019-2022
Title: Innovations of Nicholas Pojman
Introduction
Nicholas Pojman is a notable inventor based in San Francisco, CA. He has made significant contributions to the field of image processing and machine learning, holding a total of five patents. His work focuses on enhancing image labeling and ground control point determination through innovative methodologies.
Latest Patents
One of his latest patents is titled "Method, apparatus, and system for providing image labeling for cross view alignment." This invention involves determining camera pose data and trajectory data for images captured from different perspectives. The approach generates metadata that indicates the position and orientation of the first perspective view relative to a second image. This metadata can be presented in a user interface as an overlay on the second perspective view.
Another significant patent is "Method, apparatus, and system for determining a ground control point from image data using machine learning." This invention utilizes machine learning to identify ground control points from image data. It involves selecting features that meet specific properties for classification and training a machine learning model using labeled ground truth images to predict pixel location data in input images.
Career Highlights
Nicholas Pojman is currently employed at Here Global B.V., where he continues to develop innovative solutions in the field of image processing. His expertise in machine learning and image analysis has positioned him as a valuable asset in his company.
Collaborations
He has collaborated with notable colleagues, including Anish Mittal and David Johnston Lawlor, contributing to various projects that enhance the capabilities of image processing technologies.
Conclusion
Nicholas Pojman's work exemplifies the intersection of innovation and technology in image processing. His patents reflect a commitment to advancing methodologies that improve image analysis and machine learning applications.