Samsung Electronics Co., Ltd.

Lg Electronics Inc.

Dongwoo Kang

Jingu Heo

Dong Kyung Nam

Byong Min Kang

Juyong Park

Hyoseok Hwang

Seok Pil Lee

Hoon Suk Chang

Deukwon Lee

Kyoungmin Choi

Qiang Wang

Lin Ma

Yuntae Kim

Sunghoon Hong

Weiming Li

Wonhee Choe

Seongno Yoon

Seongdeok Lee

Hyunwook Ok

YangHo Cho

Soonan Park

Bao He

A method with image processing includes: determining a feature map of an image; determining a spatial position weight of pixel points of the feature map; determining a corrected feature map by correcting the feature map based on the spatial position weight of the pixel points; and determining a key point based on the corrected feature map.

Method and apparatus with image processing

An image processing method includes acquiring an image frame; tracking a face region of a user based on first prior information obtained from at least one previous frame of the image frame; based on a determination that tracking of the face region based on the first prior information has failed, setting a scan region in the image frame based on second prior information obtained from the at least one previous frame; and detecting the face region in the image frame based on the scan region.

Image processing method and apparatus

Provided is a method and apparatus for eye tracking. An eye tracking method includes detecting an eye area corresponding to an eye of a user in a first frame of an image; determining an attribute of the eye area; selecting an eye tracker from a plurality of different eye trackers, the eye tracker corresponding to the determined attribute of the eye area; and tracking the eye of the user in a second frame of the image based on the selected eye tracker, the second frame being subsequent to the first frame.

Method and apparatus for eye tracking

An eye reconstruction-based eye tracking method and apparatus are provided. The eye tracking method includes generating a reconstructed image by performing eye reconstruction with respect to an input image, determining a difference value between the input image and the reconstructed image, selecting one of the input image, the reconstructed image, and a replacement image as a target image based on the determined difference value, and performing eye tracking based on the target image.

Method and apparatus for tracking eye based on eye reconstruction

An image processing method includes receiving an image frame, detecting a face region of a user in the image frame, aligning a plurality of preset feature points in a plurality of feature portions included in the face region, performing a first check on a result of the aligning based on a first region corresponding to a combination of the feature portions, performing a second check on the result of the aligning based on a second region corresponding to an individual feature portion of the feature portions, redetecting a face region based on a determination of a failure in passing at least one of the first check or the second check, and outputting information on the face region based on a determination of a success in passing the first check and the second check.

A method and apparatus for detecting a reflection are provided. The method includes acquiring an input image of an object, based on an activation of an infrared light source, acquiring a reference image of the object, based on a deactivation of the infrared light source, and extracting a reflection region from the input image, based on the input image and the reference image.

Apparatus and method for detecting reflection

There is provided a method and apparatus for tracking eyes of a user. The method and apparatus may acquire an image of the user, acquire an illuminance of a viewpoint from which the image is captured, and output coordinates of the eyes tracked from the image by operating at least one of a high illuminance eye tracker that operates at a high illuminance or a low illuminance eye tracker that operates at a low illuminance based on the acquired illuminance.

Method and apparatus for tracking eyes of user and method of generating inverse-transform image

A method and apparatus for determining an interpupillary distance (IPD) are provided. To determine an IPD of a user, three-dimensional (3D) images for candidate IPDs may be generated, and user feedback on the 3D images may be received. A final IPD may be determined based on the user feedback.

Method and apparatus for determining interpupillary distance (IPD)

An eye tracking method and apparatus is provided. The eye tracking method includes determining whether a reflection area generated by an illumination is included in an input image, removing the reflection area from the input image in response to a determination that the reflection area is included in the input image, and outputting coordinates of an eye of a user from an image in which the reflection area is removed.

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Seoul, South Korea

Dongwoo Kang