Samsung Electronics Co., Ltd.

Jingu Heo

Dong Kyung Nam

Dongwoo Kang

Byong Min Kang

Seok Pil Lee

Yang Ho Cho

Juyong Park

Hyoseok Hwang

Huijin Lee

Dongkyun Kim

Zhihua Liu

Young Ju Jeong

Mingcai Zhou

Joohyeon Kim

Hyunjoon Kim

Haitao Wang

Tao Hong

Weiming Li

Byungkyu Lee

Qiang Wang

Lin Ma

Seok Lee

Dongkyung Nam

Zairan Wang

Younkyu Lee

Jingtao Xu

Kyuhwan Choi

Seokwhan Chung

Deheng Qian

Gengyu Ma

Xiying Wang

Guangwei Wang

Kang Xue

An imaging device includes an imaging lens array including a plurality of imaging lenses each with a same focal length, the plurality of imaging lenses being configured to capture a scene; a sensing array comprising a plurality of sensors configured to receive light passing through the plurality of imaging lenses; a processor configured to determine a scene depth plane corresponding to the scene based on a comparison, for each of a plurality of candidate depths, between reference pixel values based on first sensors of the plurality of sensors corresponding to a reference imaging lens of the plurality of imaging lenses and target pixel values that are based on second sensors of the plurality of sensors corresponding to a target imaging lens of the plurality of image lenses; and a lens driver configured to position the imaging lens array to be disposed at a point corresponding to the scene depth plane.

Imaging method and device for autofocusing

An image processing method includes: based on an imaging device generating an input array image of a multi-view through an array lens, determining a first setting parameter indicating whether to use the multi-view or a single view selected from the multi-view; determining a second setting parameter indicating whether a priority is assigned to sensitivity enhancement based on pixel binning or to resolution enhancement based on pixel interpolation; determining an image processing mode based on the first setting parameter and the second setting parameter; and generating an output image by performing image processing on the input array image based on a processing procedure that is based on the determined image processing mode.

Method and apparatus for processing array image

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

A method and device with synthetic image generation is included. A method includes acquiring a first image captured by a first camera and second images captured by a second camera having a narrower field of view (FOV) when the second images are captured thereby than that of the first camera when the first image is captured thereby. The method also includes detecting respective blur statuses of each of the second images, selecting a region of the first image on the basis of the region corresponding to a second image, of the second images, selected based on a determination that the blur status of the second image satisfies a blur condition, and generating a synthetic image by synthesizing together the selected region of the first image and the second images not including the selected second image.

Method and device with synthetic image generation

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

A method with image processing includes: receiving an input image including Bayer images captured by a plurality of lenses included in a lens assembly; generating channel separation images by separating each of the Bayer images by a plurality of channels; determining corresponding points such that pixels in the channel separation images are displayed at the same position on a projection plane, for each of the plurality of lenses; performing binning on the channel separation images, based on a brightness difference and a distance difference between a target corresponding point and a center of a pixel including the target corresponding point, corresponding to each of the corresponding points in channel separation images that correspond to a same channel and that are combined into one image, for each of the plurality of lenses; restoring the input image for each of the plurality of lenses based on binned images generated by performing the binning; and outputting the restored input image.

Method and apparatus with image processing

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.

An image processing method and an image processing apparatus are provided. The image processing method includes acquiring information of a first region of interest (ROI) in a first frame, estimating information of a second ROI in a second frame that is received after the first frame, based on the acquired information of the first ROI, and sequentially storing, in a memory, subframes that are a portion of the second frame, each of the subframes being a line of the second frame. The image processing method further includes determining whether a portion of the stored subframes includes the second ROI, based on the estimated information of the second ROI, and based on the portion of the stored subframes being determined to include the second ROI, processing the portion of the stored subframes.

Method and apparatus of processing image

An object tracking method and apparatus are provided. The object tracking method includes detecting a target object in a first-type input image that is based on light in a first wavelength band, tracking the target object in the first-type input image based on detection information of the target object, measuring a reliability of the first-type input image by comparing the first-type image to an image in a database, comparing the reliability of the first-type input image to a threshold, and tracking the target object in a second-type input image that is based on light in a second wavelength band.

Method and apparatus for tracking object

Provided in a fingerprint image preprocessing method including receiving an input fingerprint image, performing a short-time Fourier transform (STFT) on the input fingerprint image to obtain a transformed fingerprint image, comparing the input fingerprint image and the transformed fingerprint image, and generating a combined image by combining the input fingerprint image and the transformed fingerprint image based on a result of the comparing.

Method and apparatus for preprocessing fingerprint image

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.

Growing community of inventors

Yongin-si, South Korea

Jingu Heo