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: 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.

Abstract: A liveness determining method and apparatus are provided. The liveness determining apparatus includes an optical sensor including at least one optical source; a memory configured to store registered color information; and at least one processor configured to: obtain, from the optical sensor, an input fingerprint image of an object corresponding to the at least one optical source, obtain input color information from the input fingerprint image, compare the input color information and the registered color information, and determine liveness of the object based on a result of the comparing.

Abstract: 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.

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: 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 object tracking method and apparatus based on object verification are provided. The object tracking method includes detecting a first area that corresponds to a target object in a current frame, aligning the target object with respect to the current frame, and tracking the target object in a next frame based on whether a second area corresponds to the target object as a result of the alignment.

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: 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: 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: 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: 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 apparatus for recognizing a pupillary distance for three-dimensional (3D) display includes a display configured to output a 3D image corresponding to a reference pupillary distance, a controller configured to control a viewing cone included in the 3D image, and a user inputter configured to receive a user feedback indicating whether an artifact is viewed in the 3D image in response to the controlling of the viewing cone. The controller may move the viewing cone within a margin corresponding to the reference pupillary distance, and change the reference pupillary distance or determine the reference pupillary distance to be a desired pupillary distance of the user based on the user feedback.

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: 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: A fingerprint verification method and apparatus are provided. The fingerprint verification method includes performing a first matching between a fingerprint image and a first registered fingerprint image; based on a result of the first matching, performing a second matching between the fingerprint image and a second registered fingerprint image, the second registered fingerprint image being different from the first registered fingerprint image; and verifying the fingerprint based on the result of the first matching and a result of the second matching.

Abstract: 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.

Abstract: 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.

Abstract: 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.