An electronic device has multiple cameras and displays a digital viewfinder user interface for previewing visual information provided by the cameras. The multiple cameras may have different properties such as focal lengths. When a single digital viewfinder is provided, the user interface allows zooming over a zoom range that includes the respective zoom ranges of both cameras. The zoom setting to determine which camera provides visual information to the viewfinder and which camera is used to capture visual information. The user interface also allows the simultaneous display of content provided by different cameras at the same time. When two digital viewfinders are provided, the user interface allows zooming, freezing, and panning of one digital viewfinder independently of the other. The device allows storing of a composite images and/or videos using both digital viewfinders and corresponding cameras.

An electronic device has multiple cameras and displays a digital viewfinder user interface for previewing visual information provided by the cameras. The multiple cameras may have different properties such as focal lengths. When a single digital viewfinder is provided, the user interface allows zooming over a zoom range that includes the respective zoom ranges of both cameras. The zoom setting to determine which camera provides visual information to the viewfinder and which camera is used to capture visual information. The user interface also allows the simultaneous display of content provided by different cameras at the same time. When two digital viewfinders are provided, the user interface allows zooming, freezing, and panning of one digital viewfinder independently of the other. The device allows storing of a composite images and/or videos using both digital viewfinders and corresponding cameras.

In one embodiment, a method includes accessing first image data generated by a first image sensor having a first filter array that has a first filter pattern. The first filter pattern includes a number of first filter types. The method also includes accessing second image data generated by a second image sensor having a second filter array that has a second filter pattern different from the first filter pattern. The second filter pattern includes a number of second filter types, the number of second filter types and the number of first filter types have at least one filter type in common. The method also includes determining a correspondence between one or more first pixels of the first image data and one or more second pixels of the second image data based on a portion of the first image data associated with the filter type in common.

An image processing method includes: acquiring a fixation point position on a respective screen viewed by each of dominant eye(s); determining a fixation area of a left-eye screen and a fixation area of a right-eye screen according to fixation point position(s) corresponding to the dominant eye(s); rendering a first part of a left-eye image to be displayed on the left-eye screen at a first resolution, and rendering a second part of the left-eye image at a second resolution; rendering a first part of a right-eye image to be displayed on the right-eye screen at a third resolution, and rendering a second part of the right-eye image at a fourth resolution. A resolution of an image to be displayed in a fixation area of the respective screen is greater than resolutions of images to be displayed in other areas of the left-eye screen and the right-eye screen.

An image processing method includes: acquiring a fixation point position on a respective screen viewed by each of dominant eye(s); determining a fixation area of a left-eye screen and a fixation area of a right-eye screen according to fixation point position(s) corresponding to the dominant eye(s); rendering a first part of a left-eye image to be displayed on the left-eye screen at a first resolution, and rendering a second part of the left-eye image at a second resolution; rendering a first part of a right-eye image to be displayed on the right-eye screen at a third resolution, and rendering a second part of the right-eye image at a fourth resolution. A resolution of an image to be displayed in a fixation area of the respective screen is greater than resolutions of images to be displayed in other areas of the left-eye screen and the right-eye screen.

A 3D scanner system includes a scanning device capable of recording first and second data sets of a surface of an object when operating in a first configuration and a second configuration, respectively. A measurement unit is configured for measuring a distance from the scanning device to the surface. A control controls an operation of the scanning device based on the distance measured by the measurement unit, where the scanning device operates in the first configuration when the measured distance is within a first range of distances from the surface and the scanning device operates in the second configuration when the measured distance is within a second range of distances; and a data processor is configured to combine one or more first data sets and one or more second data sets to create a combined virtual 3D model of the object surface.

A 3D scanner system includes a scanning device capable of recording first and second data sets of a surface of an object when operating in a first configuration and a second configuration, respectively. A measurement unit is configured for measuring a distance from the scanning device to the surface. A control controls an operation of the scanning device based on the distance measured by the measurement unit, where the scanning device operates in the first configuration when the measured distance is within a first range of distances from the surface and the scanning device operates in the second configuration when the measured distance is within a second range of distances; and a data processor is configured to combine one or more first data sets and one or more second data sets to create a combined virtual 3D model of the object surface.

This invention provides an easy-to-manufacture, easy-to-analyze calibration object which combines measurable and repeatable, but not necessarily accurate, 3D features—such as a two-sided calibration object/target in (e.g.) the form of a frustum, with a pair of accurate and measurable features, more particularly parallel faces separated by a precise specified thickness, so as to provide for simple field calibration of opposite-facing DS sensors. Illustratively, a composite calibration object can be constructed, which includes the two-sided frustum that has been sandblasted and anodized (to provide measurable, repeatable features), with a flange whose above/below parallel surfaces have been ground to a precise specified thickness. The 3D corner positions of the two-sided frustum are used to calibrate the two sensors in X and Y, but cannot establish absolute Z without accurate information about the thickness of the two-sided frustum; the flange provides the absolute Z information.

Depth information can be used to assist with image processing functionality, such as image stabilization and blur reduction. In at least some embodiments, depth information obtained from stereo imaging or distance sensing, for example, can be used to determine a foreground object and background object(s) for an image or frame of video. The foreground object then can be located in later frames of video or subsequent images. Small offsets of the foreground object can be determined, and the offset accounted for by adjusting the subsequent frames or images. Such an approach provides image stabilization for at least a foreground object, while providing simplified processing and reduce power consumption. Similarly processes can be used to reduce blur for an identified foreground object in a series of images, where the blur of the identified object is analyzed.

Depth information can be used to assist with image processing functionality, such as image stabilization and blur reduction. In at least some embodiments, depth information obtained from stereo imaging or distance sensing, for example, can be used to determine a foreground object and background object(s) for an image or frame of video. The foreground object then can be located in later frames of video or subsequent images. Small offsets of the foreground object can be determined, and the offset accounted for by adjusting the subsequent frames or images. Such an approach provides image stabilization for at least a foreground object, while providing simplified processing and reduce power consumption. Similarly processes can be used to reduce blur for an identified foreground object in a series of images, where the blur of the identified object is analyzed.