There is provided an image processing apparatus including a display configured to display a captured image and a representative icon, wherein the representative icon indicates a range of a focus area of the displayed image and the range encompasses a center of focus point located at an initial position within the displayed image, and a processor configured to adjust the range of the focus area of the displayed image according to a size of the representative icon.

Method and apparatus for optimizing depth information are provided. One of a left image and a right image is divided into a plurality of segmentations for obtaining a plurality of segmentation maps. A necessary repair depth map is obtained, and the necessary repair depth map is partitioned into a plurality of depth planes according to a plurality of primary depth values and a camera parameter. The primary depth values are recorded in the necessary repair depth map having a plurality of holes. A plurality of optimized depth values are respectively generated for the holes in each of the depth planes by using the segmentation maps, and the optimized depth values are filled into the depth planes to obtain an optimized depth map.

An image capturing system comprises a first image capturing module, a second image capturing module and a depth map processing/generating device. The first image capturing module having a first lens, a first aperture and a first image sensor generates a first image corresponding to a first optical-wavelength range. The second image capturing module having a second lens, a second aperture, a third aperture and a second image sensor generates a second image of the first optical-wavelength range and a third image of a second optical-wavelength range. The depth map processing/generating device generates a first depth map according to the parallax of the scene observed in the first image and the second image, and generates a second depth map according to the difference/ratio of sharpness/blur between the second image and the third image, therefore wider range of resolving the object distance and accuracy of the image could be both considered.

Techniques are described for calibrating a device having a first sensor and a second sensor. Techniques include capturing sensor data using the first sensor and the second sensor. The device maintains a calibration profile including a translation parameter and a rotation parameter to model a spatial relationship between the first sensor and the second sensor. Techniques include determining a calibration level associated with the calibration profile at a first time. Techniques include determining, based on the calibration level, to perform a calibration process. Techniques include performing the calibration process at the first time by generating one or both of a calibrated translation parameter and a calibrated rotation parameter and replacing one or both of the translation parameter and the rotation parameter with one or both of the calibrated translation parameter and the calibrated rotation parameter.

Provided is an electronic apparatus and method for providing an image of surroundings of a vehicle. The electronic apparatus for providing an image of surroundings of the vehicle includes a first image sensor creating a first image by capturing surroundings of the vehicle; a second image sensor creating a second image by capturing surroundings of the vehicle; and a processor configured to obtain feature information of each of the first image and the second image and use a portion of the first image and a portion of the second image to create a composite image that represents the surroundings of the vehicle, based on the obtained feature information.

A multi-aperture imaging device that is, on the one hand, able to provide image information on a scene and, on the other hand, allows obtaining high lateral resolution and/or a wide total field of view, is described. The multi-aperture imaging device is provided with a first plurality of optical channels for projecting overlapping first partial fields of view of a total field of view on first image sensor areas of an image sensor of the multi-aperture imaging device, as well as with a second arrangement of optical channels for projecting at least a part of of the total field of view on a second image sensor area of the image sensor.

A method and system are provided for processing image content. The method comprises receiving information about a content image captured at least by one camera. The content includes multi-view representation of an image including both distorted and undistorted areas. The camera parameters and image parameters are then obtained and used to determine to which areas are undistorted and which areas are distorted in said image. This is used to calculate depth map of the image using the determined undistorted and distorted information. A final stereoscopic image is then rendered that uses the distorted and undistorted areas and calculation of depth map.

A method and system are provided for processing image content. The method comprises receiving information about a content image captured at least by one camera. The content includes multi-view representation of an image including both distorted and undistorted areas. The camera parameters and image parameters are then obtained and used to determine to which areas are undistorted and which areas are distorted in said image. This is used to calculate depth map of the image using the determined undistorted and distorted information. A final stereoscopic image is then rendered that uses the distorted and undistorted areas and calculation of depth map.

The disclosure includes a system and method for generating virtual reality content. For example, the disclosure includes a method for generating virtual reality content that includes a stream of three-dimensional video data and a stream of three-dimensional audio data with a processor-based computing device programmed to perform the generating, providing the virtual reality content to a user, detecting a location of the user's gaze at the virtual reality content, and suggesting an advertisement based on the location of the user's gaze. Another example includes receiving virtual reality content that includes a stream of three-dimensional video data and a stream of three-dimensional audio data to a first user with a processor-based computing device programmed to perform the receiving, generating a social network for the first user, and generating a social graph that includes user interactions with the virtual reality content.

The present application discloses a method for predicting stereoscopic depth comprising capturing object images of a target scene; generating a stereoscopic depth image associated with the object images; identifying a no-depth-data region in the stereoscopic depth image; identifying a depth-data region correlated to the no-depth-data region; and assigning a depth data to the no-depth-data region based on a depth data of the depth-data region correlated to the no-depth-data region.