원자력시설내 제한된 구역의 구조물 계측을 위한비전 알고리즘 평가
Evaluation of the Vision Algorithm for Measuring Structure in the Districted Area of the Nuclear Facilities
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초록
The new algorithm technique is necessary to incorporate for analyzing and evaluatingextreme condition like a nuclear accident. In this study, the combined methodology for measuringthe three-dimensional space was compared with SIFT (Scale Invariant Feature Transform) andSURF (Speeded-Up Robust Feature) algorithm. The suggested method can be used for the acquisitionof spatial information using the robot vision in the districted area of the nuclear facilities. Asa result, these data would be helpful for identify the damaged part, degree of damage and determinationof recovery sequences.
Abstract
The new algorithm technique is necessary to incorporate for analyzing and evaluatingextreme condition like a nuclear accident. In this study, the combined methodology for measuringthe three-dimensional space was compared with SIFT (Scale Invariant Feature Transform) andSURF (Speeded-Up Robust Feature) algorithm. The suggested method can be used for the acquisitionof spatial information using the robot vision in the districted area of the nuclear facilities. Asa result, these data would be helpful for identify the damaged part, degree of damage and determinationof recovery sequences.
참고문헌 (11)
- 서강, "스테레오 방식 카메라 로봇비전", 자동화기술, 27(9)통권 : 320, pp.80~86 (2011)
- Jeong-Eun Lee, "Effects of Human Disturbance on Nesting Little Terns", 한국조류학회지, 19(2), pp.93~103 (2012), 한국조류학회II[DOI]
- 오재홍, "A Performance Analysis of the SIFT Matching on Simulated Geospatial Image Differences", 한국측량학회지, 29(5), pp.449~457 (2011), 한국측량학회
- 유복모, "현대 디지털 사진 측량학", pp.163~165 (1999)
- 유복모, "수치사진측량을 이용한 지형 공간 정보 추출", 한국지형공간정보학회지, 7(2), pp.1598~2955 (1999)
- 이경승, "위치와 색상 정보를 사용한 SURF 정합 성능 향상 기법", 한국항행학회논문지, 16(2), pp.394~400 (2012), 한국항행학회[DOI]
- 이승태, "신뢰도 공간에 기반한 스테레오 정합 기법", 석사, 전자공학, pp.2011
- Harris C, "A combined corner and edge detector", Proc. Alvey vision conf, pp.147~151 (1988)
- Herbert B, "SURF:Speeded up robust feature", CVIU (Computer vision and image understanding), pp.404~617 (2008)
- Lowe DG, "Distinctive image feature from scale-invariant keypoints", international journal of computer vision, 60(2), pp.91~110 (2004)
- "SURF"[URL]