FOREGROUND EXTRACTION USING ITERATED GRAPH CUTS

Patent №

US 7,660,463

Granted

2010-02-09

Filed 2004

Owner

MICROSOFT CORPORATION

AI components

2

ml · vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10861771

Techniques are disclosed to provide more efficient and improved extraction of a portion of a scene without requiring excessive user interaction. More particularly, the extraction may be achieved by using iterated graph cuts. In an implementation, a method includes segmenting an image into a foreground portion and a background portion (e.g., where an object or desired portion to be extracted is present in the foreground portion). The method determines the properties corresponding to the foreground and background portions of the image. Distributions may be utilized to model the foreground and background properties. The properties may be color in one implementation and the distributions may be a Gaussian Mixture Model in another implementation. The foreground and background properties are updated based on the portions. And, the foreground and background portions are updated based on the updated foreground and background properties.

Machine learningVisionG06T 7/11G06T 7/162G06T 7/194G06V 10/267G06V 20/00G06T 2207/20072G06T 2207/20104G06V 2201/01

AI classification

Vision1.00
Machine learning0.96
AI hardware0.01
Evolutionary computation0.00
Speech0.00
Planning0.00
Natural language0.00
Knowledge representation0.00

Ownership

MICROSOFT CORPORATION

assignment · 154430094

Assignors

BLAKE, ANDREW, ROTHER, CARSTEN CURT ECKARD, ANANDAN, PADMANABHAN

On an employer assignment, the assignors are typically the inventors.

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