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400 results on '"Liu, Zhaobin"'

17. Improvement of Normal Estimation for PointClouds via Simplifying Surface Fitting

Author

Zhou, Jun, Jin, Wei, Wang, Mingjie, Liu, Xiuping, Li, Zhiyang, and Liu, Zhaobin

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Graphics
Abstract

With the burst development of neural networks in recent years, the task of normal estimation has once again become a concern. By introducing the neural networks to classic methods based on problem-specific knowledge, the adaptability of the normal estimation algorithm to noise and scale has been greatly improved. However, the compatibility between neural networks and the traditional methods has not been considered. Similar to the principle of Occam's razor, that is, the simpler is better. We observe that a more simplified process of surface fitting can significantly improve the accuracy of the normal estimation. In this paper, two simple-yet-effective strategies are proposed to address the compatibility between the neural networks and surface fitting process to improve normal estimation. Firstly, a dynamic top-k selection strategy is introduced to better focus on the most critical points of a given patch, and the points selected by our learning method tend to fit a surface by way of a simple tangent plane, which can dramatically improve the normal estimation results of patches with sharp corners or complex patterns. Then, we propose a point update strategy before local surface fitting, which smooths the sharp boundary of the patch to simplify the surface fitting process, significantly reducing the fitting distortion and improving the accuracy of the predicted point normal. The experiments analyze the effectiveness of our proposed strategies and demonstrate that our method achieves SOTA results with the advantage of higher estimation accuracy over most existed approaches.

Published
2021

18. Fast and Accurate Normal Estimation for Point Cloud via Patch Stitching

Author

Zhou, Jun, Jin, Wei, Wang, Mingjie, Liu, Xiuping, Li, Zhiyang, and Liu, Zhaobin

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Graphics
Abstract

This paper presents an effective normal estimation method adopting multi-patch stitching for an unstructured point cloud. The majority of learning-based approaches encode a local patch around each point of a whole model and estimate the normals in a point-by-point manner. In contrast, we suggest a more efficient pipeline, in which we introduce a patch-level normal estimation architecture to process a series of overlapping patches. Additionally, a multi-normal selection method based on weights, dubbed as multi-patch stitching, integrates the normals from the overlapping patches. To reduce the adverse effects of sharp corners or noise in a patch, we introduce an adaptive local feature aggregation layer to focus on an anisotropic neighborhood. We then utilize a multi-branch planar experts module to break the mutual influence between underlying piecewise surfaces in a patch. At the stitching stage, we use the learned weights of multi-branch planar experts and distance weights between points to select the best normal from the overlapping parts. Furthermore, we put forward constructing a sparse matrix representation to reduce large-scale retrieval overheads for the loop iterations dramatically. Extensive experiments demonstrate that our method achieves SOTA results with the advantage of lower computational costs and higher robustness to noise over most of the existing approaches.

Published
2021

30. An User-Driven Active Way to Push ACL in Software-Defined Networking

Author

Yu, Haisheng, Liu, Dong, Wang, Wenyong, Li, Keqiu, Zou, Sai, Liu, Zhaobin, Liu, Yan, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Shen, Hong, editor, Sang, Yingpeng, editor, Zhang, Yong, editor, Xiao, Nong, editor, Arabnia, Hamid R., editor, Fox, Geoffrey, editor, Gupta, Ajay, editor, and Malek, Manu, editor

Published
2022
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43. Improved RFID Anti-collision Algorithm Based on Quad-Tree

Author

Guan, Hui, Liu, Zhaobin, Zhang, Yan, Barbosa, Simone Diniz Junqueira, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Li, Kangshun, editor, Li, Wei, editor, Chen, Zhangxing, editor, and Liu, Yong, editor

Published
2018
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44. Exploring Methods of Assessing Influence Relevance of News Articles

Author

Wang, Qingren, Sheng, Victor S., Liu, Zhaobin, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Sun, Xingming, editor, Pan, Zhaoqing, editor, and Bertino, Elisa, editor

Published
2018
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45. Towards Secure Device Pairing via Vibration Detection

Author

Guo, Zhenge, Liu, Zhaobin, Zhao, Jizhong, He, Hui, Dong, Meiya, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Sun, Xingming, editor, Pan, Zhaoqing, editor, and Bertino, Elisa, editor

Published
2018
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