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The authors thank the editors and reviewers for their insightful comments. This work is supported by Key Project No. 61332015 of the National Natural Science Foundation of China, and Project Nos. ZR2013FM302 and ZR2017MF057 of the Natural Science Found of Shandong.
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Zhiguang Xiao is a postgraduate at the School of Information Science and Engineering, Shandong University. He received his B.E. degree in electronics and information engineering from the College of Electronics and Information Engineering, Sichuan University. His research interests are in graph algorithms, computer stereo vision, and image segmentation.
Hui Chen is a professor at the School of Information Science and Engineering, Shandong University. She received her Ph.D. degree in computer science from the University of Hong Kong, her bachelor and master degrees in electronics engineering from Shandong University. Her research interests include computer vision, 3D morphing, and virtual reality etc.
Changhe Tu currently is a professor and the associate dean at the School of Computer Science and Technology, Shandong University. He obtained his bachelor, master, and Ph.D. degrees all from Shandong University. His research interests include geometric modelling and processing, computational geometry, data-driven visual computing, etc. He published papers on SIGGRAPH, Eurographics, ACM TOG, IEEE TVCG, CAGD, etc.
Reinhard Klette is a Fellow of the Royal Society of New Zealand and a professor at Auckland University of Technology. He was on the editorial board of the International Journal of Computer Vision (2007–2014), the founding Editor-in-Chief of the Journal of Control Engineering and Technology (2011–2013), and an Associate Editor of IEEE PAMI (2001–2008). He (co-)authored more than 300 publications in peer-reviewed journals or conferences, and books on computer vision, image processing, geometric algorithms, and panoramic imaging. He presented more than 20 keynotes at international conferences. Springer London published his book entitled Concise Computer Vision in 2014.
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Xiao, Z., Chen, H., Tu, C. et al. An effective graph and depth layer based RGB-D image foreground object extraction method. Comp. Visual Media 3, 387–393 (2017). https://doi.org/10.1007/s41095-017-0095-3
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DOI: https://doi.org/10.1007/s41095-017-0095-3