This inventor holds 4 USPTO granted patents. Top assignees: United States of America as Represented by the Secretary of the Air Force, University of Missouri. Active years: 2018-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:


Years Active: 2018-2026
Title: Hadi Ali Akbarpour: Innovator in Camera Pose Refinement
Introduction
Hadi Ali Akbarpour is a notable inventor based in Columbia, MO (US). He has made significant contributions to the field of camera pose refinement, particularly in the context of wide area motion imagery (WAMI). With a total of 4 patents, his work focuses on enhancing the efficiency and robustness of camera parameter refinement.
Latest Patents
Hadi's latest patents include a method for fast camera pose refinement for wide area motion imagery. This invention provides a fast, robust, and efficient bundle adjustment (BA) pipeline for WAMI. The method allows for the efficient refinement of noisy camera parameters in very short amounts of time, without the need for direct outlier filtering or re-estimation of camera parameters. Its robustness is attributed to its adaptivity with the persistency factor of each track, making it particularly suitable for sequential aerial imagery where camera parameters are sourced from onboard sensors.
Career Highlights
Hadi Ali Akbarpour is currently associated with the United States of America as represented by the Secretary of the Air Force. His work has been instrumental in advancing the capabilities of aerial imagery processing, contributing to various applications in defense and surveillance.
Collaborations
Hadi has collaborated with notable colleagues such as Gunasekaran Seetharaman and Kannappan Palaniappan. Their combined expertise has further enhanced the development and implementation of innovative solutions in the field.
Conclusion
Hadi Ali Akbarpour stands out as an influential inventor in the realm of camera pose refinement. His innovative methods significantly improve the efficiency and reliability of processing wide area motion imagery.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile