Abstract: A system comprises an encoder configured to compress attribute information and/or spatial for a point cloud and/or a decoder configured to decompress compressed attribute and/or spatial information for the point cloud. A point cloud attribute transfer algorithm may be used to determine distortion between an original point cloud and a reconstructed point cloud. Additionally, the point cloud attribute transfer algorithm may be used to select attribute values for a reconstructed point cloud such that distortion between an original point cloud and a reconstructed version of the original point cloud is minimized.

Abstract: A system comprises an encoder configured to compress attribute information for a point cloud and/or a decoder configured to decompress compressed attribute for the point cloud. To compress the attribute information, attribute values are predicted using one of a plurality of prediction strategies, wherein a selected prediction strategy is selected based at least in part on attribute variability of points in a neighborhood of points. A decoder follows a similar prediction process. Also, attribute correction values may be determined to correct predicted attribute values and may be used by a decoder to decompress a point cloud, wherein the decoder applies the same prediction strategy applied at the encoder.

Abstract: A system comprises an encoder configured to compress attribute information and/or spatial for a point cloud and/or a decoder configured to decompress compressed attribute and/or spatial information for the point cloud. To compress the attribute and/or spatial information, the encoder is configured to convert a point cloud into an image based representation. Also, the decoder is configured to generate a decompressed point cloud based on an image based representation of a point cloud. The encoder generates an occupancy map and may also encode the occupancy map as an image based representation. In some embodiments, a video encoder encodes image based representations of spatial information for the points of the point cloud, image based representations of attribute values for points of the point cloud, and an image based representation of an occupancy map for the spatial and attribute images.

Abstract: A system comprises an encoder configured to compress attribute information and/or spatial for a point cloud and/or a decoder configured to decompress compressed attribute and/or spatial information for the point cloud. To compress the attribute and/or spatial information, the encoder is configured to convert a point cloud into an image based representation. Also, the decoder is configured to generate a decompressed point cloud based on an image based representation of a point cloud. A closed-loop color conversion process is used to improve compression while taking into consideration distortion introduced throughout the point cloud compression process.

Abstract: A system comprises an encoder configured to compress attribute information and/or spatial for a point cloud and/or a decoder configured to decompress compressed attribute and/or spatial information for the point cloud. To compress the attribute and/or spatial information, the encoder is configured to convert a point cloud into an image based representation. Also, the decoder is configured to generate a decompressed point cloud based on an image based representation of a point cloud. A block/sub-block organization scheme is used to encode blocks and sub-blocks of an occupancy map used in compressing the point cloud. Binary values are assigned to blocks/sub-blocks based on whether they contain patches projected on the point cloud. A traversal path is chosen that takes advantage of run-length encoding strategies to reduce a size of an encoded occupancy map. Also, auxiliary information is used to further improve occupancy map compression.

Abstract: A system comprises an encoder configured to compress attribute information and/or spatial for a point cloud and/or a decoder configured to decompress compressed attribute and/or spatial information for the point cloud. To compress the attribute and/or spatial information, the encoder is configured to convert a point cloud into an image based representation. Also, the decoder is configured to generate a decompressed point cloud based on an image based representation of a point cloud. The encoder is configured project the point cloud on to patch planes to compress the point cloud, and supports multiple layered patch planes. For example, some point clouds may have a depth, and points at different depths may be assigned to different layered patch planes.

Abstract: A system comprises an encoder configured to compress attribute information and/or spatial for a point cloud and/or a decoder configured to decompress compressed attribute and/or spatial information for the point cloud. To compress the attribute and/or spatial information, the encoder is configured to convert a point cloud into an image based representation. Also, the decoder is configured to generate a decompressed point cloud based on an image based representation of a point cloud.

Abstract: A system comprises an encoder configured to compress attribute information and/or spatial for a point cloud and/or a decoder configured to decompress compressed attribute and/or spatial information for the point cloud. To compress the attribute and/or spatial information, the encoder is configured to convert a point cloud into an image based representation. Also, the decoder is configured to generate a decompressed point cloud based on an image based representation of a point cloud.

Abstract: A system comprises an encoder configured to compress attribute information for a point cloud and/or a decoder configured to decompress compressed attribute information for the point cloud. Attribute values for at least one starting point are included in a compressed attribute information file and attribute correction values used to correct predicted attribute values are included in the compressed attribute information file. Attribute values are predicted based, at least in part, on attribute values of neighboring points and distances between a particular point for whom an attribute value is being predicted and the neighboring points. The predicted attribute values are compared to attribute values of a point cloud prior to compression to determine attribute correction values. A decoder follows a similar prediction process as an encoder and corrects predicted values using attribute correction values included in a compressed attribute information file.

Abstract: A system comprises an encoder configured to compress attribute information for a point cloud and/or a decoder configured to decompress compressed attribute information for the point cloud. Attribute values for at least one starting point are included in a compressed attribute information file and attribute correction values used to correct predicted attribute values are included in the compressed attribute information file. Attribute values are predicted based, at least in part, on attribute values of neighboring points and distances between a particular point for whom an attribute value is being predicted and the neighboring points. The predicted attribute values are compared to attribute values of a point cloud prior to compression to determine attribute correction values. A decoder follows a similar prediction process as an encoder and corrects predicted values using attribute correction values included in a compressed attribute information file.

Abstract: A system comprises an encoder configured to compress a point cloud comprising a plurality of points each point comprising spatial information for the point. The encoder is configured to sub-sample the points and determine subdivision locations for the subsampled points. Also, the encoder is configured to determine, for respective subdivision location, if a point is to be included, not included, or relocated relative to the subdivision location. The encoder encodes spatial information for the sub-sampled points and encodes subdivision location point inclusion/relocation information to generate a compressed point cloud. A decoder recreates an original or near replica of an original point cloud based on the spatial information and the subdivision location inclusion/relocation information included in the compressed point cloud.

Abstract: Methods, systems, and computer-readable media for managing open windows in a desktop GUI are disclosed. In various implementations, open windows displayed within a 2D desktop plane can be organized into one or more 3D browsable stacks in a 3D desktop space, where each stack includes open windows associated with a common value for a grouping property. A graphical representation indicating the respective value of the grouping property associated with each 3D browsable stack can be displayed in proximity to the 3D browsable stack. As the user browses through the open windows in the browsable stack, one window is displayed in a frontal view at a time while the other windows are displayed in a side view. When the user selects an open window from the stack, the 3D desktop can be restored to the 2D desktop showing the selected window as the current active window of the 2D desktop.

Abstract: Methods, systems, and computer-readable media for managing open windows in a desktop GUI are disclosed. In various implementations, within a three-dimensional desktop, the open windows can be displayed in a three-dimensional browsable parade. As the user browses through the open windows in the browsable parade, the open window passing through a designated primary location of the three-dimensional desktop becomes the current active window of the desktop. An application menu bar of the current active window can be displayed on the three-dimensional desktop. The application menu bar and the active window together provide the full range of interactive capabilities that the native application environment of the open window would allow, even though the open window is currently displayed within the browsable parade.

Abstract: Methods, systems, and computer-readable media for managing open windows in a desktop GUI are disclosed. In various implementations, within a three-dimensional desktop, the open windows can be displayed in a three-dimensional browsable parade. As the user browses through the open windows in the browsable parade, the open window passing through a designated primary location of the three-dimensional desktop becomes the current active window of the desktop. An application menu bar of the current active window can be displayed on the three-dimensional desktop. The application menu bar and the active window together provide the full range of interactive capabilities that the native application environment of the open window would allow, even though the open window is currently displayed within the browsable parade.

Abstract: Methods, systems, and computer-readable media for managing open windows in a desktop GUI are disclosed. In various implementations, within a three-dimensional desktop, the open windows can be displayed in a three-dimensional browsable parade. As the user browses through the open windows in the browsable parade, the open window passing through a designated primary location of the three-dimensional desktop becomes the current active window of the desktop. An application menu bar of the current active window can be displayed on the three-dimensional desktop. The application menu bar and the active window together provide the full range of interactive capabilities that the native application environment of the open window would allow, even though the open window is currently displayed within the browsable parade.

Abstract: An electronic device with a touch screen display, a computer-implemented method, and a graphical user interface for navigating in three-dimensional virtual spaces and manipulating three-dimensional objects in the virtual spaces using simple finger gestures are disclosed.

Abstract: Methods, systems, and computer-readable media for managing open windows in a desktop GUI are disclosed. In various implementations, open windows displayed within a 2D desktop plane can be organized into one or more 3D browsable stacks in a 3D desktop space, where each stack includes open windows associated with a common value for a grouping property. A graphical representation indicating the respective value of the grouping property associated with each 3D browsable stack can be displayed in proximity to the 3D browsable stack. As the user browses through the open windows in the browsable stack, one window is displayed in a frontal view at a time while the other windows are displayed in a side view. When the user selects an open window from the stack, the 3D desktop can be restored to the 2D desktop showing the selected window as the current active window of the 2D desktop.

Abstract: Methods, systems, and computer-readable media for managing open windows in a desktop GUI are disclosed. In various implementations, within a three-dimensional desktop, the open windows can be displayed in a three-dimensional browsable parade. As the user browses through the open windows in the browsable parade, the open window passing through a designated primary location of the three-dimensional desktop becomes the current active window of the desktop. An application menu bar of the current active window can be displayed on the three-dimensional desktop. The application menu bar and the active window together provide the full range of interactive capabilities that the native application environment of the open window would allow, even though the open window is currently displayed within the browsable parade.

Abstract: An electronic device with a touch screen display, a computer-implemented method, and a graphical user interface for navigating in three-dimensional virtual spaces and manipulating three-dimensional objects in the virtual spaces using simple finger gestures are disclosed.