Abstract: A method for controlling a user interface of an apparatus to enable intuitive manipulation for an object included in an image is provided. An object with deeper depth in a rear image of the apparatus may become selectable when the user holds a user input means close to the apparatus, while an object with shallower depth in the rear image may become selectable when the user draws the user input means away from the apparatus, thereby allowing the user to intuitively select an object in the rear image.

Abstract: An electronic device is provided. The electronic device includes a housing, a first image sensor configured to provide a first angle of view, a second image sensor configured to provide a second angle of view, and a processor. The processor is configured to obtain a first image having first resolution for a plurality of objects outside the electronic device, the plurality of objects corresponding to the first angle of view, to obtain a second image having second resolution for some objects corresponding to the second angle of view among the plurality of objects, to crop a third image having the second resolution, corresponding to at least part of the some objects, from the second image based on at least a depth-map using the first image and the second image, and to compose the third image with a region corresponding to the at least part of the some objects in the first image.

Abstract: A camera and a method for extracting depth information by the camera having a first lens and a second lens are provided. The method includes photographing, by the first lens, a first image; photographing, by the second lens, a second image of a same scene; down-sampling the first image to a resolution of the second image if the first image is an image having a higher resolution than a resolution of the second image; correcting the down-sampled first image to match the down-sampled first image to the second image; and extracting the depth information from the corrected down-sampled first image and the second image.

Abstract: A method of recognizing motion of an object may include periodically obtaining depth data of a first resolution and two-dimensional data of a second resolution with respect to a scene using an image capturing device, wherein the second resolution is higher than the first resolution; determining a motion tracking region by recognizing a target object in the scene based on the depth data, such that the motion tracking region corresponds to a portion of a frame and the portion includes the target object; periodically obtaining tracking region data of the second resolution corresponding to the motion tracking region; and/or analyzing the motion of the target object based on the tracking region data.

Abstract: Methods, systems, and devices for guiding a subject back within the recognizable visual range of a multimedia system are described. According to one of the described methods, when it is determined that the target has left the recognizable range of the multimedia system, sensor information is acquired from a portable electronic device (or controller) the user has been using to control the multimedia system, and the acquired sensor information is used to determine where the user is, relative to the recognizable range. In one example, the user is asked to make a gesture with the portable electronic device, and the sensor information concerning that gesture is used to determine the user's relative location. In another example, the sensor information recorded at the time the user left the recognizable range is used to determine the user's relative location.

Abstract: A mobile system may comprise a three-dimensional (3D) image sensor on a first surface of the mobile system configured to perform a first sensing to detect proximity of a subject and a second sensing to recognize a gesture of the subject by acquiring distance information for the subject; and/or a display device on the first surface of the mobile system to display results of the first sensing and the second sensing. A mobile system may comprise a light source unit; a plurality of depth pixels; and/or a plurality of color pixels. The light source unit, the plurality of depth pixels, or the plurality of color pixels may be activated based on an operation mode of the mobile system.

Abstract: A camera and a method for extracting depth information by the camera having a first lens and a second lens are provided. The method includes photographing, by the first lens, a first image; photographing, by the second lens, a second image of a same scene; down-sampling the first image to a resolution of the second image if the first image is an image having a higher resolution than a resolution of the second image; correcting the down-sampled first image to match the down-sampled first image to the second image; and extracting the depth information from the corrected down-sampled first image and the second image.

Abstract: An apparatus and a method for recognizing a human body in a hybrid manner are provided. The method includes calculating body information used for recognizing a human body from an input image, detecting a region of the human body in a learning-based human body recognition manner by using the calculated body information, and tracing a movement of the detected region of the human body in a modeling-based human body recognition manner. Thereby, it is possible to quickly perform more accurate and precise recognition of the human body.

Abstract: A method of recognizing motion of an object may include periodically obtaining depth data of a first resolution and two-dimensional data of a second resolution with respect to a scene using an image capturing device, wherein the second resolution is higher than the first resolution; determining a motion tracking region by recognizing a target object in the scene based on the depth data, such that the motion tracking region corresponds to a portion of a frame and the portion includes the target object; periodically obtaining tracking region data of the second resolution corresponding to the motion tracking region; and/or analyzing the motion of the target object based on the tracking region data.

Abstract: An image capture method performed by a depth sensor includes; emitting a first source signal having a first amplitude towards a scene, and thereafter emitting a second source signal having a second amplitude different from the first amplitude towards the scene, capturing a first image in response to the first source signal and capturing a second image in response to the second source signal, and interpolating the first and second images to generate a final image.

Abstract: An image capture method performed by a depth sensor includes; emitting a first source signal having a first amplitude towards a scene, and thereafter emitting a second source signal having a second amplitude different from the first amplitude towards the scene, capturing a first image in response to the first source signal and capturing a second image in response to the second source signal, and interpolating the first and second images to generate a final image.

Abstract: A method and an apparatus for controlling a display in order to secure an appropriate viewing distance between a digital device and a user who is viewing the digital device is provided. Accordingly, the method determines whether an object exists within a hazardous viewing distance using a 3D camera function provided in the digital device. If it is determined that an object exists within the hazardous viewing distance, the digital device detects a face or eyes from 2D images photographed by the camera. Next, the direction of the face is determined on the basis of the detected results, and it is determined whether a user is viewing a display screen of the digital device based on the determination. If it is determined that a user is viewing a display screen of a digital device, the digital device generates a warning that the user is positioned within a hazardous viewing distance.

Abstract: A camera and a method for extracting depth information by the camera having a first lens and a second lens are provided. The method includes photographing, by the first lens, a first image; photographing, by the second lens, a second image of a same scene; down-sampling the first image to a resolution of the second image if the first image is an image having a higher resolution than a resolution of the second image; correcting the down-sampled first image to match the down-sampled first image to the second image; and extracting the depth information from the corrected down-sampled first image and the second image.

Abstract: A method for performing out-focus of camera having a first lens and a second lens, comprising: photographing a first image with the first lens and photographing a second image with the second lens; extracting depth information of the photographed first image and second image; and performing out-focus on the first image or the second image using the extracted depth information.

Abstract: A method and an apparatus for controlling a display in order to secure an appropriate viewing distance between a digital device and a user who is viewing the digital device is provided. Accordingly, the method determines whether an object exists within a hazardous viewing distance using a 3D camera function provided in the digital device. If it is determined that an object exists within the hazardous viewing distance, the digital device detects a face or eyes from 2D images photographed by the camera. Next, the direction of the face is determined on the basis of the detected results, and it is determined whether a user is viewing a display screen of the digital device based on the determination. If it is determined that a user is viewing a display screen of a digital device, the digital device generates a warning that the user is positioned within a hazardous viewing distance.

Abstract: An apparatus and a method for recognizing a human body in a hybrid manner are provided. The method includes calculating body information used for recognizing a human body from an input image, detecting a region of the human body in a learning-based human body recognition manner by using the calculated body information, and tracing a movement of the detected region of the human body in a modeling-based human body recognition manner. Thereby, it is possible to quickly perform more accurate and precise recognition of the human body.

Abstract: A method and an apparatus for improving three dimensional (3D) effect of a 3D image collected by a 3D photographing apparatus, and reducing visual fatigue, are provided. A feature point of a left-eye image entering through a left-eye lens and of a right-eye image entering through a right-eye lens is acquired, a disparity between the left- and right-eye images is detected, a distance between the left- and right-eye lenses is controlled so that the disparity between the left- and right-eye images becomes a previously-set reference disparity, and at least one of the left- and right-eye images is shifted so that a convergence point is placed on an object located within the left- and right-eye images.

Abstract: An optical memory device and a method of recording/reproducing information by using the optical memory device. The optical memory device includes a substrate; a first barrier layer formed on the substrate; a quantum well layer; a second barrier layer; a quantum dot layer; and a third barrier layer. The quantum well layer has an energy band gap which is wider than that of the quantum dot layer, and the second barrier layer has an energy band gap which is wider than that of the quantum well layer, so that electrons in excitons which are generated in the quantum dot layer by light of a certain wavelength are captured by the quantum well layer to record information, and then, recorded information may be erased or reproduced by irradiating light of a certain wavelength to the optical memory device.

Abstract: A cursor displaying method that re-sizes a cursor displayed in a display field while repositioning the cursor in response to a detected user gesture.

Abstract: A method of recognizing motion of an object may include periodically obtaining depth data of a first resolution and two-dimensional data of a second resolution with respect to a scene using an image capturing device, wherein the second resolution is higher than the first resolution; determining a motion tracking region by recognizing a target object in the scene based on the depth data, such that the motion tracking region corresponds to a portion of a frame and the portion includes the target object; periodically obtaining tracking region data of the second resolution corresponding to the motion tracking region; and/or analyzing the motion of the target object based on the tracking region data.