The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 12, 2016

Filed:

Mar. 07, 2012
Applicants:

Ivana Girdzijauskas, Kista, SE;

Markus H. Flierl, Täby, SE;

Pravin Kumar Rana, Solna, SE;

Inventors:

Ivana Girdzijauskas, Kista, SE;

Markus H. Flierl, Täby, SE;

Pravin Kumar Rana, Solna, SE;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 15/00 (2011.01); G06T 7/00 (2006.01); G06T 9/00 (2006.01); H04N 13/00 (2006.01); H04N 13/02 (2006.01); H04N 19/597 (2014.01);
U.S. Cl.
CPC ...
G06T 15/005 (2013.01); G06T 7/0022 (2013.01); G06T 9/001 (2013.01); G06T 2207/10012 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/30168 (2013.01); G06T 2219/2008 (2013.01); H04N 13/0048 (2013.01); H04N 13/0282 (2013.01); H04N 19/597 (2014.11);
Abstract

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.


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