US Patent Issued to TEXAS INSTRUMENTS on May 26 for "Neural network techniques for predicting object poses based on parameterized and non-parameterized rotation and translation vectors" (Indian, American Inventors)

ALEXANDRIA, Va., May 26 -- United States Patent no. 12,639,850, issued on May 26, was assigned to TEXAS INSTRUMENTS Inc. (Dallas).

"Neural network techniques for predicting object poses based on parameterized and non-parameterized rotation and translation vectors" was invented by Debapriya Maji (Asansol, India), Soyeb Nagori (San Diego), Deepak Poddar (Bangalore, India) and Manu Mathew (Bangalore, India).

According to the abstract* released by the U.S. Patent & Trademark Office: "Disclosed herein are systems and methods that provide an end-to-end approach for performing multi-dimensional object pose estimation in the context of machine learning models. In an implementation, processing circuitry of a suitable computer inputs image data to ...