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:
May. 31, 2016

Filed:

Apr. 24, 2013
Applicant:

Beihang University, Beijing, CN;

Inventors:

Xiaowu Chen, Beijing, CN;

Dongqing Zou, Beijing, CN;

Qinping Zhao, Beijing, CN;

Feng Ding, Beijing, CN;

Assignee:

Beihang University, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/48 (2006.01); G06K 9/46 (2006.01); G06T 7/00 (2006.01); G06K 9/52 (2006.01); G06T 7/40 (2006.01);
U.S. Cl.
CPC ...
G06K 9/4604 (2013.01); G06K 9/52 (2013.01); G06T 7/0081 (2013.01); G06T 7/0087 (2013.01); G06T 7/40 (2013.01); G06K 2009/4666 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/20101 (2013.01); G06T 2207/20144 (2013.01); G06T 2207/20148 (2013.01);
Abstract

The present invention discloses an image foreground matting method based on neighborhood and non-neighborhood smoothness priors. The method primarily comprises the steps of: interactively marking foreground points and background points; initializing α values of each unmarked pixel of the input image by a color sampling method, calculating confidence degree of the pixel, and admitting α values of pixels of which confidence degree is larger than a given threshold as known pixels; calculating data term weights, neighborhood smoothness constraint term weights and non-neighborhood smoothness constraint term weights of each pixel in the input image to construct graph patterns of all pixels of the input image; and according to α values of the known pixels, under the constraint of the graph patterns, solving probabilities that each pixel belongs to the foreground by minimizing the energy equation so as to obtain alpha mattes.


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