Abstract: Systems with an array camera augmented with a conventional camera in accordance with embodiments of the invention are disclosed. In some embodiments, the array camera is used to capture a first set of image data of a scene and a conventional camera is used to capture a second set of image data for the scene. An object of interest is identified in the first set of image data. A first depth measurement for the object of interest is determined and compared to a predetermined threshold. If the first depth measurement is above the threshold, a second set of image data captured using the conventional camera is obtained. The object of interest is identified in the second set of image data and a second depth measurement for the object of interest is determined using at least a portion of the first set of image data and at least a portion of the second set of image data.

Abstract: Systems and methods in accordance with embodiments of the invention enable feature based high resolution motion estimation from low resolution images captured using an array camera. One embodiment includes performing feature detection with respect to a sequence of low resolution images to identify initial locations for a plurality of detected features in the sequence of low resolution images, where the at least one sequence of low resolution images is part of a set of sequences of low resolution images captured from different perspectives. The method also includes synthesizing high resolution image portions, where the synthesized high resolution image portions contain the identified plurality of detected features from the sequence of low resolution images.

Abstract: Systems and methods for the synthesis of light field images from virtual viewpoints in accordance with embodiments of the invention are disclosed. In one embodiment of the invention, a system includes a processor and a memory configured to store captured light field image data and an image manipulation application, wherein the captured light field image data includes image data, pixel position data, and a depth map, and wherein the image manipulation application configures the processor to obtain captured light field image data, determine a virtual viewpoint for the captured light field image data, where the virtual viewpoint includes a virtual location and virtual depth information, compute a virtual depth map based on the captured light field image data and the virtual viewpoint, and generate an image from the perspective of the virtual viewpoint based on the captured light field image data and the virtual depth map.

Abstract: Systems with an array camera augmented with a conventional camera in accordance with embodiments of the invention are disclosed. In some embodiments, the array camera is used to capture a first set of image data of a scene and a conventional camera is used to capture a second set of image data for the scene. An object of interest is identified in the first set of image data. A first depth measurement for the object of interest is determined and compared to a predetermined threshold. If the first depth measurement is above the threshold, a second set of image data captured using the conventional camera is obtained. The object of interest is identified in the second set of image data and a second depth measurement for the object of interest is determined using at least a portion of the first set of image data and at least a portion of the second set of image data.

Abstract: Systems with an array camera augmented with a conventional camera in accordance with embodiments of the invention are disclosed. In some embodiments, the array camera is used to capture a first set of image data of a scene and a conventional camera is used to capture a second set of image data for the scene. An object of interest is identified in the first set of image data. A first depth measurement for the object of interest is determined and compared to a predetermined threshold. If the first depth measurement is above the threshold, a second set of image data captured using the conventional camera is obtained. The object of interest is identified in the second set of image data and a second depth measurement for the object of interest is determined using at least a portion of the first set of image data and at least a portion of the second set of image data.

Abstract: Systems and methods in accordance with embodiments of the invention enable feature based high resolution motion estimation from low resolution images captured using an array camera. One embodiment includes performing feature detection with respect to a sequence of low resolution images to identify initial locations for a plurality of detected features in the sequence of low resolution images, where the at least one sequence of low resolution images is part of a set of sequences of low resolution images captured from different perspectives. The method also includes synthesizing high resolution image portions, where the synthesized high resolution image portions contain the identified plurality of detected features from the sequence of low resolution images.

Abstract: High speed video capture and depth estimation using array cameras is disclosed. Real world scenes typically include objects located at different distances from a camera. Therefore, estimating depth during video capture by an array camera can result in smoother rendering of video from image data captured of real world scenes. One embodiment of the invention includes cameras that capture images from different viewpoints, and an image processing pipeline application that obtains images from groups of cameras, where each group of cameras starts capturing image data at a staggered start time relative to the other groups of cameras. The application then selects a reference viewpoint and determines scene-dependent geometric corrections that shift pixels captured from an alternate viewpoint to the reference viewpoint by performing disparity searches to identify the disparity at which pixels from the different viewpoints are most similar. The corrections can then be used to render frames of video.

Abstract: Systems and methods in accordance with embodiments of the invention enable feature based high resolution motion estimation from low resolution images captured using an array camera. One embodiment includes performing feature detection with respect to a sequence of low resolution images to identify initial locations for a plurality of detected features in the sequence of low resolution images, where the at least one sequence of low resolution images is part of a set of sequences of low resolution images captured from different perspectives. The method also includes synthesizing high resolution image portions, where the synthesized high resolution image portions contain the identified plurality of detected features from the sequence of low resolution images.

Abstract: Systems and methods for the synthesis of light field images from virtual viewpoints in accordance with embodiments of the invention are disclosed. In one embodiment of the invention, a system includes a processor and a memory configured to store captured light field image data and an image manipulation application, wherein the captured light field image data includes image data, pixel position data, and a depth map, and wherein the image manipulation application configures the processor to obtain captured light field image data, determine a virtual viewpoint for the captured light field image data, where the virtual viewpoint includes a virtual location and virtual depth information, compute a virtual depth map based on the captured light field image data and the virtual viewpoint, and generate an image from the perspective of the virtual viewpoint based on the captured light field image data and the virtual depth map.

Abstract: Systems and methods in accordance with embodiments of the invention enable feature based high resolution motion estimation from low resolution images captured using an array camera. One embodiment includes performing feature detection with respect to a sequence of low resolution images to identify initial locations for a plurality of detected features in the sequence of low resolution images, where the at least one sequence of low resolution images is part of a set of sequences of low resolution images captured from different perspectives. The method also includes synthesizing high resolution image portions, where the synthesized high resolution image portions contain the identified plurality of detected features from the sequence of low resolution images.

Abstract: Systems and methods for the synthesis of light field images from virtual viewpoints in accordance with embodiments of the invention are disclosed. In one embodiment of the invention, a system includes a processor and a memory configured to store captured light field image data and an image manipulation application, wherein the captured light field image data includes image data, pixel position data, and a depth map, and wherein the image manipulation application configures the processor to obtain captured light field image data, determine a virtual viewpoint for the captured light field image data, where the virtual viewpoint includes a virtual location and virtual depth information, compute a virtual depth map based on the captured light field image data and the virtual viewpoint, and generate an image from the perspective of the virtual viewpoint based on the captured light field image data and the virtual depth map.

Abstract: Systems and methods in accordance with embodiments of the invention enable feature based high resolution motion estimation from low resolution images captured using an array camera. One embodiment includes performing feature detection with respect to a sequence of low resolution images to identify initial locations for a plurality of detected features in the sequence of low resolution images, where the at least one sequence of low resolution images is part of a set of sequences of low resolution images captured from different perspectives. The method also includes synthesizing high resolution image portions, where the synthesized high resolution image portions contain the identified plurality of detected features from the sequence of low resolution images.