Open AccessAn efficient method for reflective surface scanning using Kinect v2
Author(s) -
Van Bien Bui,
Tien Long Banh,
Duc An Pham,
Duc Chien Nguyen
Publication year - 2021
Publication title -
tạp chí khoa học và công nghệ việt nam (b, online) (vietnam journal of science and technology - most)/tạp chí khoa học và công nghệ việt nam (điện tử)/tạp chí khoa học và công nghệ việt nam (b, print) (vietnam journal of science and technology - most)
Language(s) - English
Resource type - Journals
eISSN - 2615-9759
pISSN - 1859-4794
DOI - 10.31276/vjst.63(1).34-38
Subject(s) - point cloud , iterative closest point , computer vision , artificial intelligence , computer science , pixel , viewpoints , robotics , point (geometry) , frame rate , reverse engineering , computer graphics (images) , mathematics , robot , acoustics , geometry , physics , programming language
ToF cameras, also identified as range imaging cameras, are a recent generation of sensors. As they are desirable for measuring distances to objects at a high frame rate, such sensors are increasingly used for 3D acquisitions, and more generally for applications in robotics or reverse engineering. In this study, the authors presented an efficient method for reflective surface scanning using Kinect v2. The approach is based on the principles of the ICP (Iterative Closest Point) algorithm. During the Kinect v2 scanning, the obtained point cloud is incomplete and includes flying pixels. The authors solve the flying pixel problem by capturing point clouds as multiple viewpoints. Each point cloud belongs to each coordinate. Then, all of the point clouds must be aligned and combined using the ICP algorithm. The experimental results show that the quality of the method is significantly improved.