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Registered OBJECT SEGMENTATION APPARATUS AND METHOD USING GAUSSIAN MIXTURE MODEL AND TOTAL VARIATION

가우시안 혼합 모델 및 총변이 기법을 이용한 컬러 영상 객체 분할 장치 및 방법
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Inventors
Seongjin Park, Bae Seong-Jun, Kim Jae Woo, Kim Do Hyung, Ho Wook Jang
Application No.
16181144 (2018.11.05)
Publication No.
20190139228 (2019.05.09)
Registration No.
10885636 (2021.01.05)
Country
UNITED STATES
Project Code
17HS1100, Authoring Platform Technology for Next-Generation Plen-Optic Contents, Kim Do Hyung
Abstract
Disclosed is an apparatus and method of segmenting an object. An object segmentation method according to the present disclosure includes: receiving an input image; receiving a user input indicating at least one piece of information on a foreground region and a background region included in the input image; generating at least one among a foreground pixel list and a background pixel list using the received user input; calculating Gaussian distribution of at least one pixel that makes up the input image using at least one among the generated foreground pixel list and background pixel list; and determining whether the at least one pixel is a foreground pixel or a background pixel using the calculated Gaussian distribution.
KSP Keywords
Gaussian Distribution, Gaussian Mixture, Gaussian mixture Model(GMM), Mixture model, Object segmentation, Total Variation(TV), User input, segmentation method
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Status Patent Country KIPRIS
Registered OBJECT SEGMENTATION APPARATUS AND METHOD USING GAUSSIAN MIXTURE MODEL AND TOTAL VARIATION KOREA KIPRIS