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:
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 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 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 example 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:
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:
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 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.