Abstract:
A method of measuring the distance to an object by radiating a periodic amplitude-modulated optical signal to the object and detecting the phase difference between the radiated optical signal and a reflected optical signal from the object includes: generating a first photo-detection control signal to control the periodic amplitude-modulation of the radiated optical signal; generating a mask signal activated at least during a shuttering duration for resetting the voltage level at a sensing node; and generating a second photo-detection control signal based on Boolean combination of the first photo-detection signal and the mask signal such that the second photo-detection signal is deactivated or masked at least during the shuttering duration.
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:
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 and apparatus for extracting three-dimensional distance information from a recognition target is provided, which enables a gesture input from a user to be correctly recognized using distance information from the recognition target, and at the same time makes it possible to efficiently save power required for detection of the gesture input. The method includes determining if a recognition target exists within a predetermined range; when the recognition target exists within the predetermined range, generating a 3D image for the recognition target; and calculating a distance to the recognition target by using the 3D 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 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 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.