Abstract:
Aspects of the disclosure relate generally to providing a user with an image navigation experience. In order to do so, a reference image may be identified. A set of potential target images for the reference image may also be identified. An area of the reference image is identified. For each particular image of the set of potential target images an associated cost for the identified area is determined based at least in part on a cost function for transitioning between the reference image and the particular target image. A target image is selected for association with the identified area based on the determined associated cost functions.
Abstract:
A method of multi-view scene flow stitching includes capture of imagery from a three-dimensional (3D) scene by a plurality of cameras and stitching together captured imagery to generate virtual reality video that is both 360-degree panoramic and stereoscopic. The plurality of cameras capture sequences of video frames, with each camera providing a different viewpoint of the 3D scene. Each image pixel of the sequences of video frames is projected into 3D space to generate a plurality of 3D points. By optimizing for a set of synchronization parameters, stereoscopic image pairs may be generated for synthesizing views from any viewpoint. In some embodiments, the set of synchronization parameters includes a depth map for each of the plurality of video frames, a plurality of motion vectors representing movement of each one of the plurality of 3D points in 3D space over a period of time, and a set of time calibration parameters.
Abstract:
Systems and methods are related to a camera rig and generating stereoscopic panoramas from captured images for display in a virtual reality (VR) environment.
Abstract:
Aspects of the disclosure relate generally to generating depth data from a video. As an example, one or more computing devices may receive an initialization request for a still image capture mode. After receiving the request to initialize the still image capture mode, the one or more computing devices may automatically begin to capture a video including a plurality of image frames. The one or more computing devices track features between a first image frame of the video and each of the other image frames of the video. Points corresponding to the tracked features may be generated by the one or more computing devices using a set of assumptions. The assumptions may include a first assumption that there is no rotation and a second assumption that there is no translation. The one or more computing devices then generate a depth map based at least in part on the points.
Abstract:
Aspects of the disclosure relate generally to providing a user with an image navigation experience. In order to do so, a reference image may be identified. A set of potential target images for the reference image may also be identified. A drag vector for user input relative to the reference image is determined. For particular image of the set of target images an associated cost is determined based at least in part on a cost function and the drag vector. A target image is selected based on the determined associated costs.
Abstract:
Aspects of the disclosure relate generally to generating depth data from a video. As an example, one or more computing devices may receive an initialization request for a still image capture mode. After receiving the request to initialize the still image capture mode, the one or more computing devices may automatically begin to capture a video including a plurality of image frames. The one or more computing devices track features between a first image frame of the video and each of the other image frames of the video. Points corresponding to the tracked features may be generated by the one or more computing devices using a set of assumptions. The assumptions may include a first assumption that there is no rotation and a second assumption that there is no translation. The one or more computing devices then generate a depth map based at least in part on the points.
Abstract:
Systems and methods are related to a camera rig and generating stereoscopic panoramas from captured images for display in a virtual reality (VR) environment.
Abstract:
Systems and methods are described for defining a set of images based on captured images, receiving a viewing direction associated with a user of a virtual reality (VR) head mounted display, receiving an indication of a change in the viewing direction. The methods further include configuring, a re-projection of a portion of the set of images, the re-projection based at least in part on the changed viewing direction and a field of view associated with the captured images, and converting the portion from a spherical perspective projection into a planar perspective projection, rendering by the computing device and for display in the VR head mounted display, an updated view based on the re-projection, the updated view configured to correct distortion and provide stereo parallax in the portion, and providing, to the head mounted display, the updated view including a stereo panoramic scene corresponding to the changed viewing direction.
Abstract:
Systems and methods are described for defining a set of images based on captured images, receiving a viewing direction associated with a user of a virtual reality (VR) head mounted display, receiving an indication of a change in the viewing direction. The methods further include configuring, a re-projection of a portion of the set of images, the re-projection based at least in part on the changed viewing direction and a field of view associated with the captured images, and converting the portion from a spherical perspective projection into a planar perspective projection, rendering by the computing device and for display in the VR head mounted display, an updated view based on the re-projection, the updated view configured to correct distortion and provide stereo parallax in the portion, and providing, to the head mounted display, the updated view including a stereo panoramic scene corresponding to the changed viewing direction.
Abstract:
Aspects of the disclosure relate generally to providing a user with an image navigation experience. In order to do so, a reference image may be identified. A set of potential target images for the reference image may also be identified. A drag vector for user input relative to the reference image is determined. For particular image of the set of target images an associated cost is determined based at least in part on a cost function and the drag vector. A target image is selected based on the determined associated costs.