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:
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:
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:
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.