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. 31, 2018

Filed:

Dec. 29, 2015
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Thomas Joseph Cashman, Cambridge, GB;

David Joseph New Tan, Garching bei Munich, DE;

Jamie Daniel Joseph Shotton, Cambridge, GB;

Andrew William Fitzgibbon, Cambridge, GB;

Sameh Khamis, Seattle, WA (US);

Jonathan James Taylor, London, GB;

Toby Sharp, Cambridge, GB;

Daniel Stefan Tarlow, Cambridge, GB;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 17/20 (2006.01); G06T 7/246 (2017.01);
U.S. Cl.
CPC ...
G06T 17/20 (2013.01); G06T 7/251 (2017.01); G06T 2200/04 (2013.01); G06T 2207/30168 (2013.01); G06T 2207/30196 (2013.01);
Abstract

Examples describe an apparatus for calibrating a three dimensional (3D) mesh model of an articulated object. The articulated object is an instance of a specified object class. The apparatus comprises an input configured to receive captured sensor data depicting the object. The apparatus has a calibration engine configured to compute values of shape parameters of the 3D mesh model which indicate which member of the object class is depicted in the captured sensor data, in order to calibrate the 3D mesh model. The calibration engine is configured to compute the values of the shape parameters with an optimization process to find at least one potential local or global minimum of an energy function, the energy function expressing a degree of similarity between data rendered from the model and the received sensor data.


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