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LiDAR 데이터의 3D Hough 변환을 이용한 건물 지붕 평면의 세그멘테이션 및 정밀 평면방정식 추출
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- Authors
- 이영진, 오재홍, 신성웅, 조우석
- Issue Date
- 2008-10
- Citation
- 한국측량학회지, v.26, no.5, pp.505-512
- ISSN
- 1598-4850
- Publisher
- 한국측량학회
- Language
- Korean
- Type
- Journal Article
- Abstract
- The 3D Hough transformation is the one of the most powerful and popular algorithm for extracting plane parameters from LiDAR data. However, there are some problems when extracting building roof plane using 3D Hough transformation. This paper explains possible problems and solution for extracting roof plane. The algorithm defines peak plane, exact plane, and LESS plane for extracting accurate plane parameters in the accumulator of the 3D Hough transformation. The peak plane is the plane which is represented by peak in the accumulator. The exact plane is the plane which is represented by the accumulator cell which is closest to the actual plane. The LESS plane can be calculated from all LiDAR points in the exact plane by using least-square adjustment. Test results show that proposed algorithm can extracts building roof plane very accurately.