Abstract: In one implementation, we propose to change the decoding process of blocks within V-PCC patches by directly decoding blocks at reduced resolutions, allowing a less computationally intensive rendering of the point cloud. In one example, based on the rendering information from the renderer, we evaluate for each patch, for each block component of the patches, or for each pixel of the patches, if the corresponding reconstructed point will be viewed by the user after the rendering process and which decimation level could be selected without impairing significantly the rendering quality. Based on the evaluation results, we decide whether to render or not the current area and at which resolution. In one approach, we compare the distance to the screen to a ranges of distance thresholds. In another approach, we compare the distance in the screen coordinate of the projection of two adjacent points of the block.

Abstract: The present principles relate to a method and device method for encoding depth values of orthogonally projected points of a point cloud onto a projection plane. The present principles also relate to a method and device for decoding a point cloud, a computer readable program and a video signal.

Abstract: At least one embodiment relates to a method comprising encoding a projection mode associated with an image region of a first depth image, said projection mode indicating if said image region stores either the minimum or the maximum depth value of at least one orthogonally projected 3D point of the point cloud along a same projection direction; and encoding said depth minimum and maximum depth values as a function of said projection mode.

Abstract: The present embodiments relate to a method and device. The method comprises obtaining at least one first point from at least one point of a point cloud by projecting said point of the point cloud onto a projection plane and obtaining at least one other point of the point cloud determined according to said at least one first point; determining and encoding at least one interpolation coding mode for said at least one first point based on at least one reconstructed point obtained from said at least one first point and at least one interpolation point defined by said at least one interpolation coding mode to approximate said at least one other point of the point cloud; and signaling said at least interpolation coding mode as values of image data.

Abstract: At least one embodiment relates to a method comprising encoding a projection mode associated with an image region of a first depth image, said projection mode indicating if said image region stores either the minimum or the maximum depth value of at least one orthogonally projected 3D point of the point cloud along a same projection direction; and encoding said depth minimum and maximum depth values as a function of said projection mode.

Abstract: The present principles relate to a method and device method for encoding depth values of orthogonally projected points of a point cloud onto a projection plane. The present principles also relate to a method and device for decoding a point cloud, a computer readable program and a video signal.

Abstract: At least one embodiment relates to a method for signaling a syntax element representing a Point Local Reconstruction mode, said Point Local Reconstruction mode being representative of at least one parameter defining a mode for reconstructing at least one point of a point cloud frame.

Abstract: At least one embodiment relates to a method assigning a pixel value of an occupancx map either indicates tliat a depth value of at least one 3D sample of a point cloud frame projected along a same projection line is stored as a pixel value of at least one layer or equals a fixed-length codeword representing a depth value of at least one 3D sample projection along said projection line.

Abstract: At least a method and an apparatus are presented for efficiently encoding or decoding video. For example, a 2-D patch of the point cloud is obtained by projecting 3-D points of the point cloud onto a projection plane, the patch having a plurality of pixels. The patch is divided into a plurality of smaller blocks. The number of pixels is determined within each of the plurality of smaller blocks. An updated occupancy map is obtained based on the determined number of pixels within each of the plurality of smaller blocks. A reconstructed point cloud is obtained based on the updated occupancy map, wherein the reconstructed point cloud is a less dense representation of the point cloud.

Abstract: At least one of the embodiment provides a method and device for generating and encoding in a bitstream an interpolation texture coding mode indicating that the bitstream contains color information data representative of a texture image and that texture interpolation has to be done on point of a reconstructed point cloud that are not colorized from said color information data.

Abstract: The present principles generally relate to encoding and decoding of a point cloud representing the geometry of a point cloud representing a 3D object. According to the invention, prediction is used in the encoding process of the splitting information of the local octree-based structure and/or in the 10 encoding process of the occupancy information of the leaf cubes of the local octree-based structure. A predictor of the local octree-based structure is used for determining the context of the context-dependent entropy encoding in order to reduce the number of bits needed for the octree encoding.

Abstract: The present embodiments relate to a method and device. The method comprises obtaining at least one first point from at least one point of a point cloud by projecting said point of the point cloud onto a projection plane and obtaining at least one other point of the point cloud determined according to said at least one first point; determining and encoding at least one interpolation coding mode for said at least one first point based on at least one reconstructed point obtained from said at least one first point and at least one interpolation point defined by said at least one interpolation coding mode to approximate said at least one other point of the point cloud; and signaling said at least interpolation coding mode as values of image data.

Abstract: At least one embodiment provides a method comprising encoding or decoding a coding model information representative of an encoding of points of a point cloud, said encoding being defined from at least one point belonging to a bounding box encompassing said points of the point cloud.

Abstract: At least one embodiment relates to a method for adding at least one 3D sample to a point cloud frame and for assigning a color-coding mode to said at least one 3D sample, said color-coding mode indicating if color information associated with said at least one 3D sample is explicitly encoded in a bitstream or if said color information is implicit.

Abstract: The present principles relates to a method and device for encoding an input colored point cloud representing the geometry and colors of a 3D object. The method comprises: —selecting (100) at least one face (Fi,j) of at least one cube (Cj) of an octree-based structure of projection according to at least one orthogonal projection of the point cloud onto said at least one face; and —encoding (120, 130) a pair of one texture image (TIi,j) and one depth (DIi,j) image per selected face (Fi,j) of a cube (Cj) by orthogonally projecting the part of the point cloud included in said cube (Cj) onto said selected face (Fi,j).

Abstract: The present principles relates to a two-steps approach for encoding and decoding the geometry of a point cloud. In a first step, an octree-based structure is obtained by splitting recursively a cube encompassing the point cloud until the leaf cubes associated with the leaf nodes of said octree-based structure reach down an expected size.

Abstract: This method for hole filling of a point cloud having at least one hole comprises:—detecting (2) boundary points of the point cloud;—grouping (12) the detected boundary points in boundary regions based on their spatial adjacency;—covering (16) each boundary region with at least one plane; and—inserting (18) new points in the point cloud using the planes covering the boundary regions.

Abstract: The present disclosure concerns a method for reconstructing a point cloud representing a 3D object from an inverse projected point cloud (IPPC) obtained by inverse-projecting at least one depth image of an original point cloud, said at least one depth image being obtained by projecting the points of the original point cloud onto at least one surface, said method comprising the steps of; detecting (900) at least one missing part (MPtfj in the inverse-projected point cloud (IPPC), and completing (910) said at least one missing part (MPq) based on points in the neighborhood of said at least one missing part.

Abstract: This method for up-sampling a point cloud representing a 3D object, comprises:—detecting (2) points belonging to at least one under-sampled region of the point cloud on the basis of at least one desirable sampling rate (K);—obtaining (12), for each detected point, an associated tangent plane;—inserting (14) in the point cloud at least one neighboring point of each detected point if a distance between the neighboring point and the tangent plane associated with the detected point is less than a first threshold.

Abstract: In a staggercasting system, a receiver estimates a delivery time of a packet from a main stream and, if the packet from the main stream is not received at the estimated delivery time, the receiver substitutes a corresponding packet from the stagger stream. As a result, a loss can be detected quicker since the receiver does not have to wait until detection of a missing sequence number and, therefore, the receiver can accommodate the time of presentation such that the user does not suffer a loss in quality of service.