US 11,989,973 B2
Age and gender estimation using a convolutional neural network
Meng Meng, Santa Clara, CA (US); Lei Zhang, Campbell, CA (US); and Qun Gu, San Jose, CA (US)
Assigned to Black Sesame Technologies Inc., San Jose, CA (US)
Filed by Black Sesame International Holding Limited, San Jose, CA (US)
Filed on Aug. 31, 2021, as Appl. No. 17/463,139.
Prior Publication US 2023/0069436 A1, Mar. 2, 2023
Int. Cl. G06V 40/16 (2022.01); G06N 3/08 (2023.01)
CPC G06V 40/172 (2022.01) [G06N 3/08 (2013.01); G06V 40/165 (2022.01); G06V 40/171 (2022.01); G06V 40/178 (2022.01)] 11 Claims
OG exemplary drawing
 
1. A method of age and gender estimation, comprising:
receiving an input image;
detecting a facial image within the input image;
estimating a head pose based on a set of facial image intensities of the facial image, wherein the head pose is expressed as a yaw, a pitch, and a roll;
determining whether the yaw, the pitch, and the roll of the head pose is less than a predetermined threshold;
aligning the facial image if the yaw, the pitch, and the roll of the head pose are less than the predetermined threshold; and
predicting au age and a gender of the aligned facial image.