Abstract: A method for generating a depth map includes acquiring at least one image of a scene including a reflective object or a semi-transparent object, acquiring, from the at least one image, a first depth map including a depth value for at least one opaque object which is reflected by the reflective object or viewed through the semi-transparent object, acquiring, from the at least one image, a second depth map including a depth value for the reflective object or the semi-transparent object, and generating a depth map for the scene based on the acquired first depth map and the acquired second depth map, and the generated depth map includes the depth value for the reflective object or the semi-transparent object and the depth value for the at least one opaque object which is reflected by the reflective object or viewed through the semi-transparent object.

Abstract: An electronic device and method are provided. The electronic device includes receiving a plurality of operation contexts for the wearable electronic device to perform an operation according to an operation context, designating a priority between the plurality of operation contexts, calculating a parameter related to a movement of a plurality of cameras to perform an operation context having a top priority, and changing a combined field-of-view (FoV) and overlapping area formed by the plurality of cameras based on the movement of the plurality of cameras, wherein the plurality of cameras are configured to moved, independently.

Abstract: An electronic apparatus is provided. The electronic apparatus includes a camera, a memory in which a plurality of captured images obtained through the camera and a parameter value of the camera are stored, and a processor electrically connected to the camera and the memory. The processor is configured to identify a scene type corresponding to each captured image of the plurality of captured images; extract a feature point of each captured image of the plurality of captured images based on a feature point extraction method corresponding to the identified scene type of each captured image; obtain a calibration parameter value corresponding to a feature type of each extracted feature point; obtain an integrated calibration parameter value based on one or more obtained calibration parameter values; and update the parameter value stored in the memory based on the integrated calibration parameter value.

Abstract: An electronic apparatus and a controlling method thereof are provided. The electronic apparatus providing augmented reality (AR) content includes a display, a camera and a processor configured to display augmented reality (AR) content through the display, detect a hand of a user from image obtained through the camera, and identify a first interaction of the hand with the AR content based on a size of the hand, wherein the size of the hand is obtained based on the information about an object provided through the display.

Abstract: An electronic device for identifying an external electronic device and a method therefor are provided. The electronic device includes a camera, a display, and a processor configured to, in case communication with a first external electronic device is established while providing augmented reality via the display, identify the first external electronic device among at least one external electronic device present in a field of view of the camera based on information received from the first external electronic device and information obtained from the camera and display information related to the first external electronic device in the augmented reality (AR) provided via the display, as virtual object information.

Abstract: A gesture sensing method of an electronic device, according to various examples of the present invention, can comprise an operation of sensing an object, determining a motion of the object, determining a gesture type corresponding to the motion of the object, activating a sensor for sensing a gesture corresponding to the gesture type according to the determined gesture type, and sensing the gesture through the activated sensor.