구조 부재의 형상적 특성 기반의 실내 포인트 클라우드 데이터의 표준화 알고리즘 개발
Development of Standardization Algorithm for Indoor Point Cloud Data Based on the Geometric Feature of Structural Components
- Resource Type
- Article
- Authors
- 오상민 / Oh Sangmin; 차민수 / Cha Minsu; 조훈희 / Cho Hunhee
- Source
- 한국건축시공학회 학술발표대회 논문집. May 19, 2023 23(1):345
- Subject
- 역설계
라이다
실내 포인트 클라우드 데이터
표준화 알고리즘
구조 부재
reverse engineering
light detection and ranging
indoor point clouds
standardization algorithm
structural members
- Language
- Korean
English
As the shape and size of detectable objects diversifying recognition and segmentation algorithms have been developed to acquire accurate shape information. Although a high density of data captured by the repetition of scanning improves the accuracy of algorithms the high dense data decreases the efficiency due to its large size. This paper proposes standardization algorithms using the feature of structural members on indoor point cloud data to improve the process. First of all we determine the reduction rate of the density based on the features of the target objects then the data reduction algorithm compresses the data based on the reduction rate. Second the data arrangement algorithm rotates the data until the normal vector of data is aligned along the coordinate axis to allow the following algorithms to operate properly. Final the data arrangement algorithm separates the rotated data into their leaning axis. This allows reverse engineering of indoor point clouds to obtain the efficiency and accuracy of refinement processes.