Electronics and Telecommunications Research Institute

Hyungil Kim

Jongyoul Park

Youngwan Lee

Jin Young Moon

Yongjin Kwon

Yu Seok Bae

Kang Min Bae

Kimin Yun

Sungchan Oh

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.

Method and apparatus for face recognition robust to alignment status of the face

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.

Object detection system and an object detection method

Growing community of inventors

Daejeon, South Korea

Hyungil Kim