Samsung Electronics Co., Ltd.

New Power Plasma Co., Ltd.

Changkyu Choi

Kyuhong Kim

Chao Zhang

Jaejoon Han

Sungjoo Suh

Hui Zhang

Youngjun Kwak

Seunghwan Kim

Jihye Kim

Jongho Park

Seungju Han

Byung In Yoo

Jae-Joon Han

Hao Feng

Jingtao Xu

Byungin Yoo

Seon Min Rhee

Biao Wang

Hana Lee

Wonjun Kim

Namjoon Kim

Deheng Qian

Hyungsuk Kim

Wonjun Hwang

Jongho Lee

Jungbae Kim

Hyoung-ki Lee

Minsu Ko

Youngsung Kim

Sungun Park

Sangsoo Kim

Seokwhan Chung

Yongkwan Lee

Byungkyu Lee

Wonsuk Chang

Yaozu An

Yanhu Shan

Donggeon Kong

Tianchu Guo

Xiabing Liu

Xuetao Feng

Hongwei Zhang

Lujin Gong

Junyoung Oh

Daewook Kim

Hyoungki Lee

Jaywoo Kim

Yongchao Liu

Seonmin Rhee

Giljin Jang

Boeun Jang

Byungln Yoo

Sangmin Yoon

Kiyoung Park

Bonyoung Lee

Sookwon Rang

Sang Min Yoon

Yongseok Seo

Seokyeon Hwang

Jaeho Kwak

Wonpil Lee

Ko Minsu

An image processing method and apparatus using a neural network are provided. The image processing method includes generating a plurality of augmented features by augmenting an input feature, and generating a prediction result based on the plurality of augmented features.

Image processing method and apparatus using neural network

A fingerprint verification method and apparatus is disclosed. The fingerprint verification method may include obtaining an input fingerprint image, determining a matching region between the input fingerprint image and a registered fingerprint image, determining a similarity corresponding to the matching region, representing a determined indication of similarities between the input fingerprint image and the registered fingerprint image, relating the determined similarity to the matching region as represented in a matching region-based similarity, determining a result of a verification of the input fingerprint image based on the matching region-based similarity, and indicating the result of the verification.

Method and apparatus with fingerprint verification

An image processing method implemented by a processor includes receiving an image, acquiring a target image that includes an object from the image, calculating an evaluation score by evaluating a quality of the target image, and detecting the object from the target image based on the evaluation score.

Image processing method and apparatus for object detection

A gaze estimation method and apparatus is disclosed. The gaze estimation method includes obtaining an image including an eye region of a user, extracting, from the obtained image, a first feature of data, obtaining a second feature of data used for calibration of a neural network model, and estimating a gaze of the user using the first feature and the second feature.

Method and apparatus with gaze estimation

A surface treatment apparatus and a surface treatment system having the same are disclosed. The surface treatment apparatus includes a process chamber in which the surface treatment process is conducted, a plasma generator for generating process radicals as a plasma state for the surface treatment process, the plasma generator being positioned outside of the process chamber and connected to the process chamber by a supply duct, a heat exchanger arranged on the supply duct and cooling down temperature of the process radicals passing through the supply duct and a flow controller controlling the process radicals to flow out of the process chamber. The flow controller is connected to a discharge duct through which the process radicals are discharged outside the process chamber. The plasma surface treatment process is conducted to the package structure having minute mounting gap without the damages to the IC chip and the board.

Apparatus for conducting plasma surface treatment, board treatment system having the same

A method for updating biometric authentication data authenticates an input image using an enrollment database (DB) over a first length of time, the authentication including generating information for authenticating the input image, and updates the enrollment DB based on the first length time and the information for authenticating the input image.

Methods and apparatuses for updating user authentication data

A method of detecting a target includes generating an image pyramid based on an image on which a detection is to be performed; classifying candidate areas in the image pyramid using a cascade neural network; and determining a target area corresponding to a target included in the image based on the plurality of candidate areas, wherein the cascade neural network includes a plurality of neural networks, and at least one neural network among the neural networks includes parallel sub-neural networks.

Target detection method and apparatus

Disclosed is a liveness test method and apparatus. A liveness test apparatus determines a pre-liveness score based on a plurality of sub-images acquired from an input image, determines a post-liveness score based on a recognition model for recognizing an object included in the input image, and determines a liveness of the object based on any one or any combination of the pre-liveness score and the post-liveness score.

Liveness test method and apparatus

A processor-implemented liveness test method includes: obtaining a color image including an object and an infrared (IR) image including the object; performing a first liveness test using the color image; performing a second liveness test using the IR image; and determining a liveness of the object based on a result of the first liveness test and a result of the second liveness test.

Apparatus and method with liveness verification

A processor implemented image processing method includes acquiring a facial image by performing a face detection on an image, performing a quality assessment on the facial image using a preset facial image regression model, and determining a quality level of the facial image based on the quality assessment.

Apparatus and method for image processing

A method of selecting a candidate fingerprint image for fingerprint recognition includes acquiring a target fingerprint image, generating a target frequency image based on a frequency conversion of the target fingerprint image, extracting frequency feature information associated with a representative frequency from the target frequency image, and selecting a candidate fingerprint image from enrolled fingerprint images by comparing the frequency feature information to enrolled frequency information.

Method and apparatus of selecting candidate fingerprint image for fingerprint recognition

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Seongnam-si, South Korea

Changkyu Choi