My main interests lie in two aspects: 3D computer vision and plant phenomics. 1. In 3D computer vision, our group aims to develop novel algorithms with respect to 3D reconstruction for plants and point cloud data processing, including point cloud registration, filtering, segmentation, visualization, and deep learning-based methods as well. 2. In plant phenomics, our group aims to develop new methodologies and algorithms which can be used to measure plant growth and architecture at different scales through the use of images and point cloud data. |
01/2018-12/2018 |
Visiting Scholar, Lyles School of Civil Engineering, Purdue University, Indiana, USA. |
07/2014-present |
Associate Professor, College of Informatics, Huazhong Agricultural University, Wuhan, China |
01/2012-06/2014 |
Associate Professor, College of Science, Huazhong Agricultural University, Wuhan, China |
07/2009-12/2011 |
Lecturer, College of Science, Huazhong Agricultural University, Wuhan, China |
01/2007-10/2008 |
Post-doctoral fellow, Department of Geomatics Engineering, the University of Calgary, Canada. |
07/2001-12/2006 |
PhD in Photogrammetry and Remote Sensing, Wuhan University, Wuhan, China |
09/1997-06/2001 |
Bachelor in Information Engineering, Wuhan University, Wuhan, China |
|
1. Yang L, Zhai R.,* Yang X., Peng H., Tao S., Segmentation of point clouds into elementary units through super Voxel-based region growing Methodology, Computer Engineering and Applications, 2019,55(16) : 197-203. 2. Gao Z*, Zhai R*, Wang P, et al. Synergizing Appearance and Motion With Low Rank Representation for Vehicle Counting and Traffic Flow Analysis[J]. IEEE Transactions on Intelligent Transportation Systems, 2017:1-11. 3. Zhai Ruifang*, Fang Yihang, Lin Chengda, Peng Hui, Liu Shanmei, Luo Jun, Segmentation of field rapeseed plant image based on Gaussian HI color algorithm, Transactions of the Chinese Society of Agricultural Engineering,2016,32(8) :142-147. 4. Gao Zhi*, Li Qingquan, Zhai Rufiang*, etc., Laser range data denoising via adaptive and robust dictionary learning, IEEE Geoscience and remote sensing Letters, 2015, 12(8):1750-1754. 5. Zhai Ruifang#, Jing Xiu*, Lin Chengda, Peng Hui, Luo Jun, , Modeling of rapeseed at maturity stage using 3D unorganized point clouds and digital images, African Journal of Agricultural Research, 2014, 9(24) : 1841-1848. |