US Patent Issued to Canon on July 15 for "Object recognition using partial and full feature vector extraction respectively applying recall ratio and precision based on similarity metrics or training" (Japanese Inventors)

ALEXANDRIA, Va., July 16 -- United States Patent no. 12,361,674, issued on July 15, was assigned to Canon K.K. (Tokyo).

"Object recognition using partial and full feature vector extraction respectively applying recall ratio and precision based on similarity metrics or training" was invented by Hideo Noro (Tokyo), Kotaro Yano (Tokyo) and Hiroshi Sato (Kanagawa, Japan).

According to the abstract* released by the U.S. Patent & Trademark Office: "An apparatus includes an extraction unit configured to extract an N-dimensional feature vector (N is an integer that is greater than M) in a second format including an M-dimensional feature vector (M is an integer of 2 or greater) in a first format from input data, and an identification unit configur...