Telefonaktiebolaget Lm Ericsson (publ)

Ivana Girdzijauskas

Thomas Rusert

Pravin Kumar Rana

Markus H Flierl

Clinton Priddle

Per Fröjdh

Beatriz Grafulla-González

Apostolos Georgakis

Sebastian Schwarz

Roger Olsson

Mårten Sjöström

An auxiliary information map () is upsampled to form an upsampled auxiliary information map (). Multiple reference pixels () in the upsampled auxiliary information map () are selected for a current pixel () in the upsampled auxiliary information map () based on texel values of texels in an associated texture (). An updated pixel value is calculated for the current pixel () based on the pixel values of the selected reference pixels ().

Auxiliary information map upsampling

The disclosed embodiments relate to determining transmit formats and receive formats for a 3D video communication service. Sets of available 3D video communication transmit formats are received. Each set is associated with a client device. Sets of available 3D video communication receive formats are received. Each set is associated with one of the client devices. One format for transmission of 3D video communication from the at least one client device to the other client devices is determined for at least one of the client devices. The one format is a member of both the set of available 3D video communication transmit formats associated with the at least one client device and the received available 3D video communication receive formats associated with other client devices.

3D video communications

Method and arrangement for increasing the resolution of a depth or disparity map related to multi view video. The method comprises deriving a high resolution depth map based on a low resolution depth map and a masked texture image edge map. The masked texture image edge map comprises information on edges in a high resolution texture image, which edges have a correspondence in the low resolution depth map. The texture image and the depth map are associated with the same frame.

Depth or disparity map upscaling

The embodiments of the present invention relates to a method and a processor for representing a 3D scene. In the method, one 3D component of the 3D scene to be represented, captured at least three different views (v, v, v) is projecting to a predefined view (v). A value associated with each projected view regarding the 3D component is then determined and consistency among the projected views regarding the 3D component is detected. Moreover, a consistency value regarding the 3D component is determined based on the determined values associated with the respective projected view, and the determined values are replaced by the determined consistency value on at least one of the three projected 3D components.

Methods and arrangements for 3D scene representation

The present invention relates to three dimension (3D) scene representations and in particular to a method and a processor for providing improved 3D scene representations. An objective of the embodiments of the present invention is to improve the determination of consistency among a plurality of projections at a virtual view denoted vF. When determining the consistency, entries of a distance matrix, indicative of distance differences of 3D components between different views for a corresponding segment k when projected to the predefined view (vF) for each segment k, are compared with entries of a threshold matrix. The objective is achieved by assigning each segment k of a 3D component to a cluster based on individual rules for each cluster and one threshold matrix and by determining one threshold matrix for each cluster based on the segments of that cluster.

Method and processor for 3D scene representation

Co-processing of a video frame () and its associated depth map () suitable for free viewpoint television involves detecting respective edges () in the video frame () and the depth map (). The edges () are aligned and used to identify any pixels (-) in the depth map () or the video frame () having incorrect depth values or color values based on the positions of the pixels in the depth map ()or the video frame () relative an edge () inthe depth map () and a corresponding, aligned edge () in the video frame (). The depth values or color values of the identified pixels (-) can then be corrected in order to improve the accuracy of the depth map () or video frame ().

Growing community of inventors

Solna, Sweden

Ivana Girdzijauskas