Apple Inc.

Google Inc.

Lytro, Inc.

Zejing Wang

Thomas Nonn

Chia-Kai Liang

Florian Ciurea

Gang Pan

Tobias Rick

Jon Karafin

Ziv Hendel

Joel Merritt

Benjamin A Darling

Aaron Wetzler

Mohammad Nassar

Vicky Kogan

Guy Rapaport

An electronic device is provided that includes a first camera with a first field of view configured to capture a first image, a second camera with a second field of view configured to capture a second image, and control circuitry configured to output stereoscopic content based on the first and second images. The control circuitry can include image signal processors configured to process the first and second images, additional processors for performing stereo rectification and image stabilization on the first and second images, and a compression block for combining images output from the additional processors.

Stereoscopic capture using cameras with different fields of view

Devices, methods, and non-transitory program storage devices are disclosed to provide techniques for distortion compensation in images that are subject to video image stabilization (VIS), e.g., electronic image stabilization (EIS). In some embodiments, the techniques comprise: obtaining a first image captured by a first image capture device; determining a first set of image parameters configured to apply a first distortion operation (e.g., an un-distortion operation) to the first image; determining a second set of image parameters configured to apply a first stabilization operation to a first version of the first image that has already had the first distortion operation applied; determining a third set of image parameters configured to apply a second distortion operation (e.g., an idealized, field of view-preserving, re-distortion operation) to the first image; and applying the determined first, second, and third sets of image parameters to the first image to generate a distortion-compensated and stabilized output image.

Distortion compensation in video image stabilization

A sensor is configured to acquire a light field by imaging a scene. A processor is configured to determine four-dimensional (4D) coordinates of points in a light field and generate dollied coordinates from the 4D coordinates based on a dolly transform and a dolly parameter. The processor is also configured to project rays associated with the dollied coordinates from the light field onto corresponding points in an output raster. In some cases, the processor applies an aperture function to filter the rays in the coordinate system of the dollied coordinates. The aperture function has a first value in a first region of an aperture plane and the aperture value has a second value in a second region of the aperture plane. Rays passing through the first region are accepted by the aperture function and rays passing through the second region are rejected.

Generating dolly zoom effect using light field image data

Dense light-field data can be generated from image data that does not include light-field data, or from image data that includes sparse light-field data. In at least one embodiment, the source light-field data may include one or more sub-aperture images that may be used to reconstruct the light-field in denser form. In other embodiments, the source data can take other forms. Examples include data derived from or ancillary to a set of sub-aperture images, synthetic data, or captured image data that does not include full light-field data. Interpolation, back-projection, and/or other techniques are used in connection with source sub-aperture images or their equivalents, to generate dense light-field data.

Multi-view back-projection to a light-field

Motion blur may be applied to a light-field image. The light-field image may be captured with a light-field camera having a main lens, an image sensor, and a plurality of microlenses positioned between the main lens and the image sensor. The light-field image may have a plurality of lenslet images, each of which corresponds to one microlens of the microlens array. The light-field image may be used to generate a mosaic of subaperture images, each of which has pixels from the same location on each of the lenslet images. Motion vectors may be computed to indicate motion occurring within at least a primary subaperture image of the mosaic. The motion vectors may be used to carry out shutter reconstruction of the mosaic to generate a mosaic of blurred subaperture images, which may then be used to generate a motion-blurred light-field image.

Motion blur for light-field images

Microlens positions for a light-field capture device may be calibrated. A calibration light-field image may be captured, with a microlens portion corresponding to each microlens of the light-field capture device. Interstitial spaces between the microlens portions may be identified and used to locate one or more center locations of the microlens portions. The center locations may be used to generate a model that indicates the microlens positions. Additionally or alternatively, the calibration light field image may be used to select one or more contour samples from among multiple contour samples of the microlens portions. The contour sample may be fitted to a circle centered at a center location of a microlens portion to identify the center location, which may then be used to generate a model that indicates the microlens positions. Multiple iterations may be used to enhance the accuracy of the models.

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Mountain View, CA, United States of America

Zejing Wang