http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Inhwan Dennis Lee (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
-
3D reconstruction of as-built model of plant piping system from point clouds and port information
Inhwan Dennis Lee,Ikjin Lee,Soonhung Han 한국CDE학회 2021 Journal of computational design and engineering Vol.8 No.1
This paper proposes a reconstruction method of the as-built model of plant piping, where the port point of the fitting is used as the secondary reference point, which represents a connection point between the fitting and its connected pipeline. The connection point between a fitting and a pipeline is a critical point of reference in the as-built model. In this study, a fitting model is registered to the point clouds first by using the state-of-the-art technique, which is based on an iterative closest point (ICP) algorithm and also considers the alignment of the port direction with the connected pipelines. Then, the port points of the registered fitting are considered as connection points, and the nozzle points of the connected pipelines are adjusted along its axis based on the information. After the registration process, which uses the detailed shape of fitting and the directions of adjacent pipelines at the same time, the port point on the registered fitting becomes a better estimate of the connection point compared with the nozzle point of a pipeline detected.
-
Effectiveness of rough initial scan for high-precision automatic 3D scanning
Seo Ji Hyun,Lee Inhwan Dennis,Yoo Byounghyun 한국CDE학회 2021 Journal of computational design and engineering Vol.8 No.5
Herein, we present an efficient method for the high-precision automatic 3D scanning of unknown objects for mechanical parts. Our method comprises two phases, namely a rough initial scan and a precision scan. The goal of the rough initial scan is to scan the rough shape rapidly and to provide scan data for the precision scan, thereby reducing the duration of the entire process. Researchers have attempted to provide rough information regarding an object before precision scanning, e.g. by building a rough three-dimensional (3D) model using 2D images or capturing the shape in advance using a low-accuracy scanner with a larger view frustum. However, our two-phase scanning method uses a single type of high-precision scanner for scanning the rough shape and also for the precision scan, which comes afterwards. In the rough initial scan phase, the next scanning view is determined based on the scan data captured by the latest view, eventually forming helical shape movement. In this study, we apply the two-phase scan method to 18 types of models in a virtual 3D scanning environment. For diverse configurations, the model size is adjusted from small to large relative to the virtual scanner’s view frustum, and the number of next best views calculated per iteration during the precision scan phase is adjusted. We demonstrate that the rough initial scan provides a certain amount of scan data rapidly regardless of the model size and shape. Furthermore, we demonstrate that the two scan methods complement each other, thereby reducing the overall process time and workload.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
