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.
Patent No.:
Date of Patent:
Jan. 03, 2023
Filed:
Dec. 07, 2018
Applicant:
Microsoft Technology Licensing, Llc, Redmond, WA (US);
Inventors:
Assignee:
Microsoft Technology Licensing, LLC, Redmond, WA (US);
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 11/60 (2006.01); H04N 13/106 (2018.01); H04N 13/271 (2018.01); H04N 5/272 (2006.01); G06K 9/62 (2022.01); H04N 9/75 (2006.01); G06T 7/136 (2017.01); G06T 7/593 (2017.01); G06T 7/174 (2017.01); G06T 7/521 (2017.01); G06T 7/11 (2017.01); G06T 7/194 (2017.01); G06V 10/28 (2022.01); G06V 10/98 (2022.01); G01B 11/22 (2006.01);
U.S. Cl.
CPC ...
H04N 13/106 (2018.05); G01B 11/22 (2013.01); G06K 9/6293 (2013.01); G06T 7/11 (2017.01); G06T 7/136 (2017.01); G06T 7/174 (2017.01); G06T 7/194 (2017.01); G06T 7/521 (2017.01); G06T 7/593 (2017.01); G06T 7/596 (2017.01); G06V 10/28 (2022.01); G06V 10/98 (2022.01); H04N 5/272 (2013.01); H04N 9/75 (2013.01); H04N 13/271 (2018.05); G06T 2207/10016 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/10048 (2013.01); G06T 2207/20021 (2013.01);
Abstract
The subject disclosure is directed towards a framework that is configured to allow different background-foreground segmentation modalities to contribute towards segmentation. In one aspect, pixels are processed based upon RGB background separation, chroma keying, IR background separation, current depth versus background depth and current depth versus threshold background depth modalities. Each modality may contribute as a factor that the framework combines to determine a probability as to whether a pixel is foreground or background. The probabilities are fed into a global segmentation framework to obtain a segmented image.