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Registered OBJECT SEGMENTATION APPARATUS AND METHOD USING GAUSSIAN MIXTURE MODEL AND TOTAL VARIATION
- 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
- Family
| Status | Patent | Country | KIPRIS |
|---|---|---|---|
| Registered | 가우시안 혼합 모델 및 총변이 기법을 이용한 객체 분할 장치 및 방법 | KOREA | KIPRIS |