Title :
3D human body modeling based on single Kinect
Author :
Guanglin Zhang ; Jiping Li ; Jianjun Peng ; Hao Pang ; Xulun Jiao
Author_Institution :
Sch. of Inf. Sci. & Eng., Dalian Polytech. Univ., Dalian, China
Abstract :
3D human body models have been widely used in all fields. For acquiring precise human body models, the research about their recognition and reconstruction has become a major topic. Here we present a new method for modeling 3D human body based on single Kinect from the viewpoint of cost and operability. In this method, human body 3D information is recognized and acquired by only one Kinect while 3D human body models are reconstructed by using the tools of Processing and Point Cloud Library. To achieve the reconstruction objective, the iterative closest point algorithm is adopted for registering the captured upper human body 3D point cloud data with the standard reference human body data. The experiment results demonstrate that this method is feasible.
Keywords :
data acquisition; image recognition; image reconstruction; iterative methods; medical image processing; 3D human body model reconstruction; iterative closest point algorithm; point cloud library; single Kinect; standard reference human body data; upper human body 3D point cloud data; Biological system modeling; Data models; Iterative closest point algorithm; Libraries; Solid modeling; Surface treatment; Three-dimensional displays; 3D modeling; Kinect; Point Cloud Library; Processing; human body;
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2014 7th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4799-5837-5
DOI :
10.1109/BMEI.2014.7002751