Abstract: An image rendering method and apparatus are provided. The image rendering apparatus may determine which one of a two-dimensional (2D) display area that displays a 2D image and a three-dimensional (3D) display area that displays a 3D image includes a current pixel, may perform a 2D rendering operation at a position of the current pixel when the current pixel is included in the 2D display area, and may perform a 3D rendering operation at a position of the current pixel when the current pixel is included in the 3D display area.

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: An image processing apparatus includes a light receiver to transduce a light reflected from an object into an electron corresponding to an intensity of the light, a measurer to measure quantities of charge on the electron with respect to at least two different divided time sections of an integration time section for acquiring a depth image, and an image generator to generate a depth image using at least one of the at least two measured quantities of charge on the electron.

Abstract: An image rendering method and apparatus are provided. The image rendering apparatus may determine which one of a two-dimensional (2D) display area that displays a 2D image and a three-dimensional (3D) display area that displays a 3D image includes a current pixel, may perform a 2D rendering operation at a position of the current pixel when the current pixel is included in the 2D display area, and may perform a 3D rendering operation at a position of the current pixel when the current pixel is included in the 3D display area.

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: An image sensor includes a plurality of non-color pixel sensors each configured to sense a non-color signal; and a color pixel sensing region including at least one color pixel sensor configured to sense a color signal, wherein the color pixel sensing region has an area physically greater than an area of each of the non-color pixel sensors.

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 method and apparatus for predicting an eye position based on an eye position measured in advance are provided. In the method and apparatus, predicted eye position data may be calculated using a plurality of predictors, and one or more target predictors may be determined among the plurality of predictors based on error information of each of the plurality of predictors. Final predicted eye position data may be acquired based on predicted eye position data calculated by the determined one or more target predictors.

Abstract: A method and apparatus for determining an interpupillary distance (IPD) are provided. To determine an IPD of a user, three-dimensional (3D) images for candidate IPDs may be generated, and user feedback on the 3D images may be received. A final IPD may be determined based on the user feedback.

Abstract: Provided are a three-dimensional (3D) rendering method and apparatus that detect eye coordinates of positions of eyes of a user from an image of the user, adjust the eye coordinates to correspond to virtual eye positions that reduce crosstalk caused by refraction of light; and perform 3D rendering of the eyes based on the adjusted eye coordinates.

Abstract: A method and apparatus for eye tracking are disclosed. The method may include obtaining feature points corresponding to at least one portion of a face area of the user in an image, determining an inner area of an eye area of a first eye of the user based on the feature points, determining a pupil area of the user based on a pixel value of at least one pixel of the inner area, and determining an eye position of the user based on a position value of each pixel of the pupil area.

Abstract: Provided is an image filtering apparatus and method that may generate a noise prediction model associated with a depth image, based on an infrared ray (IR) intensity, and thereby predict noise included in a depth image using the generated noise prediction model.

Abstract: An image sensor includes a plurality of non-color pixel sensors each configured to sense a non-color signal; and a color pixel sensing region including at least one color pixel sensor configured to sense a color signal, wherein the color pixel sensing region has an area physically greater than an area of each of the non-color pixel sensors.

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: Disclosed are an optical layer and a display device including the same. The optical layer includes optical components slanted a predetermined angle ? with respect to a pixel included in a display panel, and disposed at an interval of a predetermined distance l, and the predetermined angle ? and the predetermined distance l satisfy l=2g×tan(VAL/2) and a=l/(2g×tan(VAP/2)).

Abstract: An image processing apparatus is provided. The image processing apparatus determines whether a first charge quantity of charges stored in a first charge storage is greater than or equal to a predetermined saturation level, the first charge storage among a plurality of charge storages configured to store charges generated by a sensor of a depth camera. According to the determination result, when the first charge quantity is greater than or equal to the saturation level, the image processing apparatus may calculate the first charge quantity from at least one second charge quantity of charges stored in at least one second charge storage which is different from the first charge storage among the plurality of charge storages.

Abstract: An optical layer may include a barrier. The barrier may include slits arranged in the barrier so that vertically neighboring slits from among the slits are connected to each other. The slits are configured to transmit light through the barrier.

Abstract: A method and apparatus for eye tracking are disclosed. The method may include obtaining feature points corresponding to at least one portion of a face area of the user in an image, determining an inner area of an eye area of a first eye of the user based on the feature points, determining a pupil area of the user based on a pixel value of at least one pixel of the inner area, and determining an eye position of the user based on a position value of each pixel of the pupil area.

Abstract: An endoscope using depth information and a method for detecting a polyp based on the endoscope using the depth information are provided. The endoscope using the depth information may generate an irradiated light signal including a visible light, obtain depth information based on the irradiated light signal and a reflected light signal obtained through the irradiated light signal being reflected off of an intestine wall, generate a depth image inside the intestine wall based on the depth information, and detect a polyp located on the intestine wall based on the depth image.

Abstract: A depth noise filtering method and apparatus is provided. The depth noise filtering method may perform spatial filtering or temporal filtering according to depth information. In order to perform spatial filtering, the depth noise filtering method may determine a characteristic of a spatial filter based on depth information. Also, in order to perform temporal filtering, the depth noise filtering method may determine a number of reference frames based on depth information. The depth noise filtering method may adaptively remove depth noise according to depth information and thereby enhance a noise filtering performance.