Abstract: A multi-lens based capturing apparatus and method are provided. The capturing apparatus includes a lens array including lenses and a sensor including sensing pixels, wherein at least a portion of sensing pixels in the sensor may generate sensing information based on light entering through different lenses in the lens array, and light incident on each sensing pixel, among the portion of the plurality of sensing pixels may correspond to different combinations of viewpoints.

Abstract: 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.

Abstract: Provided are a deformable fingerprint recognition device and a fingerprint authentication method and an electronic apparatus using the deformable fingerprint recognition device. The deformable fingerprint recognition device may include a fingerprint sensor configured to be deformed in shape and a strain sensor provided on a surface of the fingerprint sensor to measure deformation distribution of the fingerprint sensor. The deformable fingerprint recognition device may recognize a fingerprint of a user by reflecting the deformation distribution of the fingerprint sensor measured by the strain sensor. The deformable fingerprint recognition device may include a plurality of first pixel regions to detect the fingerprint of the user, and the strain sensor may include a plurality of second pixel regions to measure the deformation distribution of the fingerprint sensor.

Abstract: 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.

Abstract: An image processing apparatus includes a calculator configured to calculate a respective position offset for each of a plurality of candidate areas in a second frame based on a position of a basis image in a first frame and a determiner configured to determine a final selected area that includes a target in the second frame based on a respective weight allocated to each of the plurality of candidate areas and the calculated respective position offset.

Abstract: Provided is a method of processing data corresponding to a fingerprint image including obtaining first image data corresponding to a group including a plurality of pixels, and dividing the first image data into second image data corresponding to each of the plurality of pixels based on a plurality of weights corresponding to the plurality of pixels, respectively.

Abstract: A method of recognizing a fingerprint includes generating, by using a fingerprint sensor, an input fingerprint image that is to be used when a fingerprint verification mode is executed; obtaining, from a memory, a registered fingerprint image that is generated from a finger image captured by a camera and stored in the memory prior to the generating the input fingerprint image; determining, from among partial regions of a registered fingerprint image that is obtained, a partial region of the registered fingerprint image, which is superimposed on the input fingerprint image, as a registered superimposed image; converting the registered superimposed image such that a first histogram of the registered superimposed image corresponds to a second histogram of the input fingerprint image; and determining, by comparing the registered superimposed image, which is converted, with the input fingerprint image, whether the input fingerprint image is verified.

Abstract: A method for generating a three-dimensional (3D) image may detect a current eye position of a user and render a 3D image based on at least one of a previously detected eye position of the user and previously generated stereo images. A cycle at which the current eye position of user is detected and a cycle at which a 3D image is rendered may be asynchronous.

Abstract: 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.

Abstract: A multi-lens based capturing apparatus and method are provided. The capturing apparatus includes a lens array including lenses and a sensor including sensing pixels, wherein at least a portion of sensing pixels in the sensor may generate sensing information based on light entering through different lenses in the lens array, and light incident on each sensing pixel, among the portion of the plurality of sensing pixels may correspond to different combinations of viewpoints.

Abstract: 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.

Abstract: 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.

Abstract: Provided is a method of evaluating performance of a bio-sensor. The method may include obtaining an input bio-image by using the bio-sensor that is to be evaluated; obtaining a sample database including information of M reference bio-images, where M is a natural number; and calculating a quality score of the input bio-image based on the input bio-image and the information in the sample database. The quality score may provide an objective and quantitative score for evaluating a bio-image.

Abstract: Provided are a biometric image processing method and an apparatus including the same. The biometric image processing method includes acquiring a biometric image from a biometric sensor, evaluating image quality of the biometric image by calculating an evaluation score with respect to each of a plurality of evaluation items corresponding to the biometric image, determining at least one of an improvement algorithm corresponding to an evaluation result and a weight of the improvement algorithm by using an image quality improvement table including an improvement degree of image quality, and correcting the biometric image according to the at least one of the improvement algorithm and determined weight of the improvement algorithm.

Abstract: An operating method of a display apparatus includes calculating a range of a movement of a user based on eye movement information indicating movements of eyes of the user; and adjusting a stereoscopic depth of a three-dimensional (3D) image based on the range of the movement.

Abstract: A multi-lens based capturing apparatus and method are provided. The capturing apparatus includes a lens array including lenses and a sensor including sensing pixels, wherein at least a portion of sensing pixels in the sensor may generate sensing information based on light entering through different lenses in the lens array, and light incident on each sensing pixel, among the portion of the plurality of sensing pixels may correspond to different combinations of viewpoints.

Abstract: An apparatus and method for predicting an eye position includes a storer configured to store detected position information of an eye of user during a sample time interval, a calculator configured to calculate a weighted average value of a variation of the detected position information, and a predictor configured to generate prediction position information of the eye of user at a target time based on the weighted average value, and the calculator is configured to apply a weight to the variation of the detected position information such that the weight increases as the target time is approached during the sample time interval.

Abstract: Provided is an apparatus and method for predicting an eye position of user that may detect eye position coordinates in an image which is recently generated, determine a current prediction velocity of an eye movement based on a velocity of a previous eye movement, and predict the eye position coordinates of the user based on the detected eye position coordinates and the current prediction velocity.

Abstract: A feature point positioning apparatus includes a memory storing computer-executable instructions; and one or more processors configured to execute the computer-executable instructions such that the one or more processors are configured to, iteratively update a first form coefficient based on, a nonlinear feature extracted from an image, and a regression factor matrix obtained through training, and detect a position of the feature point of the image based on, the updated first form coefficient, and a statistical form model obtained through training.

Abstract: An operating method of a display apparatus includes calculating a range of a movement of a user based on eye movement information indicating movements of eyes of the user; and adjusting a stereoscopic depth of a three-dimensional (3D) image based on the range of the movement.