Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A high dynamic range light-field image may be captured through the use of a light-field imaging system. In a first sensor of the light-field imaging system, first image data may be captured at a first exposure level. In the first sensor or in a second sensor of the light-field imaging system, second imaging data may be captured at a second exposure level greater than the first exposure level. In a data store, the first image data and the second image data may be received. In a processor, the first image data and the second image data may be combined to generate a light-field image with high dynamic range.

Abstract: A depth map may be generated in conjunction with generation of a digital image such as a light-field image. A light pattern source may be used to project a light pattern into a scene with one or more objects. A camera may be used to capture first light and second light reflected from the one or more objects. The first light may be a reflection of light originating from one or more other light sources independent of the light pattern source. The second light may be a reflection of the light pattern from the one or more objects. In a processor, at least the first light may be used to generate an image such as a light-field image. Further, in the processor, at least the second light may be used to generate a depth map indicative of distance between the one or more objects and the camera.

Abstract: 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.

Abstract: 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.