Interdigital Vc Holdings, Inc.

Thomson Licensing

Interdigital Ce Patent Holdings, Sas

Thomson Licensing S.a.

Thomson Multimedia S.a.

Interdigital Ce Patent Holdings

Thomson Licensing Dtv

Interdigital Madison Patent Holdings

Jean-Claude Chevet

Yannick Olivier

Celine Guede

Didier Doyen

Pierre Andrivon

Olivier Le Meur

Christel Chamaret

David Gendron

Joan Llach

Fabrice Urban

Thierry Viellard

Carlos Correa

Philippe Guillotel

Julien Ricard

Sebastien Lasserre

Alexandre Ninassi

Kangying Cai

Paul Kerbiriou

Jean-Eudes Marvie

Joan Llach Pinsach

Sebastien Weitbruch

Gangolf Hirtz

David Sahuc

G&eacute;rard Rilly

Thai Quan Huynh-Thu

Dominique Touchais

Guillaume Courtin

At least one embodiment relates to signaling at least one texture patch representing a texture value of at least one in-between 3D sample, a texture patch being a set of 2D samples representing texture values of orthogonally projected 3D samples of a point cloud along projection lines onto a projection plane, and said at least one in-between 3D sample being a 3D sample of the point cloud having a depth value greater than a nearer 3D sample of the point cloud and lower than a farther 3D sample of the point cloud, said at least one in-between 3D sample and said nearer and farther 3D samples being projected along the same projection line.

Processing the in-between points of a point cloud

A method, an apparatus for encoding at least one component of at least one attribute of an animated 3D object and a method and an apparatus for decoding at least one component of at least one attribute of an animated 3D object are disclosed. The at least one component of the at least one attribute of the animated 3D object is encoded by reframing values of the attributes into a first subset and a second subset, wherein the first subset of values comprises values of the at least one component being in a range of values, and the second subset of values comprising values of the at least one component being outside the range of values, and encoding the first subset and the second subset of values.

Method and an apparatus for encoding/decoding at least one attribute of an animated 3D object

At least one embodiment relates to provides a method of encoding/decoding attribute of orthogonally projected 3D samples and in-between 3D samples in which an information indicates whether at least one first attribute patch of 2D samples obtained by encoding the attribute of said at least one orthogonally projected 3D samples according to a first attribute coding mode, and at least one second attribute patch of 2D samples of an image obtained by encoding the attribute of at least one in-between 3D sample, are stored in separate images.

Encoding and decoding a point cloud using patches for in-between samples

A method and apparatus of encoding/decoding attributes of points of a pint cloud are provided. The encoding method subdivides a bounding box bounding the points to be encoded, encodes data representative of attributes of a point by referring to a subdivision to which said point belongs to; and encode data representative of a number of points comprised in each subdivision.

Method and device for encoding/reconstructing attributes of points of a point cloud

At least one embodiment relates to a method comprising obtaining an occupancy information indicating if blocks of a 2D regular grid defined over a projection plane are associated with depth information of an orthogonal projection of at least one point of a point cloud onto said projection plane; embedding said occupancy information in an image storing said depth information; and encoding said image.

Method and apparatus for encoding/decoding a point cloud representing a 3D object

At least one embodiment relates to a method for smoothing (filtering) the geometry of a point cloud frame by performing an analysis and filtering of said geometry point cloud in a 2D space, without reconstruction of 3D samples in a 3D space, and by using a flexible filtering operator that, in addition to moving existing points, can also remove points or add new ones.

Processing a point cloud

At least one embodiment relates to a method assigning a pixel value of an occupancy map either indicates that 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.

Processing missing points of a point cloud

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.

Method and device for encoding/decoding the geometry of a point cloud

At least one embodiment relates to a method for padding a first depth image representative of depth values of nearer points of a point cloud frame and a second depth image representative of depth values of farther points of a point cloud frame. The method also comprises encoding a video stream including a time-interleaving of said encoded first and second images. There is also provided a method comprising decoding a video stream to provide a first depth image representative of depth values of nearer points of a point cloud frame and a second depth image representative of depth values of farther points of a point cloud frame; and filtering pixel values of the second depth image by using pixel values of the first depth image.

Method and device for encoding and reconstructing missing points of a point cloud

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.

Method and apparatus for encoding/decoding the geometry of a point cloud representing a 3D object

Method and device for encoding a point cloud that represents a three-dimensional (3D) object. One or more groups of temporally successive pictures are obtained. Each picture of the one or more groups comprises a first set of images, the images being spatially arranged in a same manner in each picture of the one or more groups. A second set of projections is associated with the one or more groups, a unique projection being associated with each image in such a way that a same projection is associated with only one single image and all projections are associated with the images. A first information representative of the projections is encoded. The point cloud may then be encoded according to the obtained pictures. A corresponding method and device for decoding a bitstream that comprises data representative of the encoded picture(s) are also described.

Method and device for encoding a point cloud

A method for processing a picture comprising at least one face is provided. The method comprises: &#x2014;obtaining (S) a cropping window in the picture; &#x2014;processing (S) the picture by cropping the picture part delimited by the cropping window; wherein the method further comprises detecting (S) the at least one face, determining (S) a weight for the detected at least one face and modifying (S) the position of the cropping window in the picture based on the weight, wherein the weight is determined at least based on the size of the corresponding detected face.

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Betton, France

Jean-Claude Chevet