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:
An eye tracking apparatus is operable in both first and second illumination environments where the second illumination is associated with a higher illumination environment than the first illumination. The apparatus includes an image capturer configured to capture an image of a user, an image processor configured to detect an eyepoint of the user in the captured image, and an optical source configured to emit infrared light to the user in a first illumination mode. The image capturer includes a dual bandpass filter configured to allow infrared light and visible light to pass.
Abstract:
A processor-implemented method includes: determining whether a plurality of tile sets of different zoom levels comprises a tile image, based on either one or both of a position of the tile image in a virtual image and a size of the tile image, wherein tile image corresponds to a visible region covered by a preview interface in the virtual image; updating the tile image based on whether the plurality of tile sets comprises the tile image; and generating a preview image corresponding to the tile image by stitching the updated tile image.
Abstract:
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.
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 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 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:
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 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:
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.