公开(公告)号：US20220129689A1

公开(公告)日：2022-04-28

申请号：US17513441

申请日：2021-10-28

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Hyungil KIM ,  Kimin YUN ,  Yongjin KWON ,  Jin Young MOON ,  Jongyoul PARK ,  Kang Min BAE ,  Sungchan OH ,  Youngwan LEE

IPC: G06K9/32 ,  G06K9/00 ,  G06K9/62 ,  G06N3/08

Abstract: A method and apparatus for face recognition robust to an alignment of the face comprising: estimating prior information of a facial shape from an input image cropped from an image including a face using the first deep neural network (DNN); extracting feature information of facial appearance from the input image by using a second DNN; training, by using a face image decoder based on the prior information and the feature information, the face recognition apparatus; and extracting, from a test image, facial shape-aware features in the inference step by using the trained second DNN.

公开(公告)号：US20210365724A1

公开(公告)日：2021-11-25

申请号：US17325701

申请日：2021-05-20

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Youngwan LEE ,  Hyungil KIM ,  Jongyoul PARK ,  Yu Seok BAE

IPC: G06K9/62 ,  G06T3/00 ,  G06T7/73 ,  G06T7/60

Abstract: Provided are an object detection system and an object detection method. An object detection system may include a feature map extraction module configured to receive an image for object detection and extract a feature map having multiple resolutions for the image; a bounding box detection module configured to classify a bounding box by applying a first group of convolutional layers to the feature map, and predict the bounding box by applying a second group of convolutional layers to the feature map; and a mask generation module configured to generate a mask for the shape of the object in the bounding box using the feature map.