Abstract:
Systems and methods for generating depth data from images captured by a camera-enabled mobile device are provided. The depth data can be used to refocus one or more portions of an image captured by the camera-enabled mobile device. A user can select different portions of the captured image to bring different portions of the image into focus and out of focus. Depth data for an image can be generated from a reference image and a sequence of images captured by the image capture device. The sequences of images can be acquired using a suitable camera motion. A refocused image can be generated with portions of the image out of focus relative to the reference image.
Abstract:
Systems and methods for the generation of depth data for a scene using images captured by a camera-enabled mobile device are provided. According to a particular implementation of the present disclosure, a reference image can be captured of a scene with an image capture device, such as an image capture device integrated with a camera-enabled mobile device. A short video or sequence of images can then be captured from multiple different poses relative to the reference scene. The captured image and video can then be processed using computer vision techniques to produce an image with associated depth data, such as an RGBZ image.
Abstract:
A system and machine-implemented method for providing one or more photos associated with a point of interest on a map, the method including receiving an indication of a request from a user to view photos associated with a point of interest on a map, identifying a set of photos associated with the point of interest, wherein the photos comprise at least one of photos taken from the point of interest or photos that depict at least part of the point of interest, ranking the photos within the set of photos according to ranking criteria, wherein the ranking criteria comprises one or more of map context, photo quality, photo type or user request information and providing one or more photos of the set of photos to the user according to the ranking.
Abstract:
A three-dimensional model of a scene is reconstructed from images of the scene. The three-dimensional model comprises parameters describing points of the scene and cameras that captured the scene. The parameters are iteratively modified by adding a correction to the parameters in each iteration. A preconditioner matrix is determined for solving the linear system of equations. To determine the preconditioner matrix, cameras that observed the scene are clustered, each cluster including cameras that observed a portion of the scene. The preconditioner matrix is determined by selectively eliminating terms of the linear system of equations that correspond to interactions across clusters of cameras. The linear system of equations is preconditioned using the preconditioner matrix. The preconditioned linear system of equations is solved to obtain the corrections to the parameters.