Abstract:
A method and apparatus for correcting a distortion are provided. The distortion correction method includes displaying a first image on a display panel based on source images that correspond to respective viewpoints of the display panel, generating a second image by capturing the display panel at a first point, and determining a first compensation value to be used to compensate for a distortion of the second image with respect to the display panel.
Abstract:
Provided is an apparatus and method for determining an interpupillary distance (IPD), the method and apparatus may determine the IPD of a user by analyzing an image of the user gazing at a display to which a predetermined pattern is output, wherein the image may be obtained by the apparatus for determining the IPD or may be received from an external terminal.
Abstract:
A method of estimating a parameter of a three-dimensional (3D) display device includes estimating a transformation parameter between a camera and a display based on an image displayed on the display and an image reflected by a reflector.
Abstract:
A method of determining a calibration parameter for a three-dimensional (3D) display device includes determining a calibration parameter for a 3D display device based on an image of a second pattern three-dimensionally converted from an image of a first pattern.
Abstract:
An apparatus for calibrating a multiview image may extract feature points from the multiview image and perform image calibration based on the extracted feature points, track corresponding feature points in temporally successive image frames of a first view image, and perform the image calibration based on pairs of corresponding feature points between the feature points tracked from the first view image and feature points of a second view 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 apparatus for calibrating a multiview image may extract feature points from the multiview image and perform image calibration based on the extracted feature points, track corresponding feature points in temporally successive image frames of a first view image, and perform the image calibration based on pairs of corresponding feature points between the feature points tracked from the first view image and feature points of a second view image.
Abstract:
A method and an apparatus for estimating a parameter of a virtual screen are disclosed. The method includes determining first transformation parameters of virtual cameras relative to a reference camera of the virtual cameras based on transformation parameters of the virtual cameras relative to a physical pattern, determining second transformation parameters of the virtual cameras relative to the reference camera based on transformation parameters of the virtual cameras relative to a virtual pattern, and estimating a size parameter of a virtual screen based on the first transformation parameters and the second transformation parameters.
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.