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:
Jul. 11, 2017

Filed:

Mar. 13, 2015
Applicant:

Sony Computer Entertainment Europe Limited, London, GB;

Inventor:

Antonio Martini, London, GB;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 17/00 (2006.01); G06T 19/00 (2011.01); G06T 7/00 (2017.01); G06K 9/00 (2006.01); G06K 9/46 (2006.01); G06T 15/10 (2011.01); H04N 13/02 (2006.01); G06K 9/52 (2006.01); H04N 7/18 (2006.01); G06T 17/05 (2011.01); A63F 13/5378 (2014.01); A63F 13/25 (2014.01); A63F 13/50 (2014.01); G06T 7/73 (2017.01); G06T 7/55 (2017.01); G06T 7/13 (2017.01); G06T 7/246 (2017.01);
U.S. Cl.
CPC ...
G06T 7/0044 (2013.01); A63F 13/25 (2014.09); A63F 13/50 (2014.09); A63F 13/5378 (2014.09); G06K 9/00476 (2013.01); G06K 9/46 (2013.01); G06K 9/468 (2013.01); G06K 9/52 (2013.01); G06T 7/0008 (2013.01); G06T 7/13 (2017.01); G06T 7/246 (2017.01); G06T 7/55 (2017.01); G06T 7/73 (2017.01); G06T 7/74 (2017.01); G06T 15/10 (2013.01); G06T 17/05 (2013.01); G06T 19/006 (2013.01); H04N 7/18 (2013.01); H04N 13/021 (2013.01); H04N 13/0207 (2013.01); G06T 2200/08 (2013.01); G06T 2207/10012 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20021 (2013.01); G06T 2207/30244 (2013.01); G06T 2215/16 (2013.01); G06T 2219/2004 (2013.01);
Abstract

A method generates a three-dimensional map of a region from successive images captured from different camera poses. The method includes a camera capturing images of the region; designating a subset of captured images as a set of keyframes each having respective sets of image position data representing image positions of landmark points detected as feature points in that image; for a newly captured image, generating a camera pose prediction; selecting an ordering of the landmark points; detecting whether an image region of the new image approximately matches an expected image position of a landmark point based on the predicted camera pose by detecting whether the image region is substantially identical to the image information associated with that landmark point; and refining the pose prediction from the detecting step. The selecting includes performing a statistical test on the landmark points and selecting the ordering according to the statistical test results.


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