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Progressive Approaches for Pareto Optimal Groups Computation 期刊论文
IEEE Transactions on Knowledge and Data Engineering, 2019, 卷号: Vol.31 No.3, 页码: 521-534
作者:  xu zhou;  Kenli Li;  Zhibang Yang;  Guoqing Xiao;  Keqin Li
收藏  |  浏览/下载:5/0  |  提交时间:2019/12/13
Progressive Approaches for Pareto Optimal Groups Computation 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2019, 卷号: Vol.31 No.3, 页码: 521-534
作者:  Zhou, X;  Li, KL;  Yang, ZB;  Xiao, GQ;  Li, KQ
收藏  |  浏览/下载:18/0  |  提交时间:2019/12/13
Progressive Approaches for Pareto Optimal Groups Computation 期刊论文
IEEE Transactions on Knowledge & Data Engineering, 2019, 卷号: Vol.31 No.3, 页码: 521-534
作者:  Zhou, X;  Li, KL;  Yang, ZB;  Xiao, GQ;  Li, KQ
收藏  |  浏览/下载:23/0  |  提交时间:2019/12/13
Design and simulation of F/A-18a automatic carrier landing guidance controller 会议论文
AIAA Modeling and Simulation Technologies Conference, 2016, 2016-06-13
作者:  Yue, L.;  Liu, G.;  Hong, G.
收藏  |  浏览/下载:3/0  |  提交时间:2019/12/30
Progressive Motion Vector Clustering for Motion Estimation and Auxiliary Tracking 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2015, 卷号: 11
作者:  Chen, Ke;  Zhou, Zhong;  Wu, Wei
收藏  |  浏览/下载:1/0  |  提交时间:2019/12/30
An improved algorithm to generate high quality progressive animation models (EI CONFERENCE) 会议论文
2010 International Conference on Biomedical Engineering and Computer Science, ICBECS 2010, April 23, 2010 - April 25, 2010, Wuhan, China
Zhang S.; Zhao J.; Cao J.
收藏  |  浏览/下载:18/0  |  提交时间:2013/03/25
In computer graphics  investigation has been made in many years in progressive models generation to alleviate the workload of visualization processing. However  most of the existing algorithms only focus on static meshes  and very little works are to deal with animation models. In this paper  we propose an improved method for generating progressive multiresolution animation models. By the method we first use a normal deviation parameter to improve the famous QEM method as our basic edge contraction metric to generate a base hierarchy. The sequence of the simplified models is generated progressively from the first frame to the last one. Based on the edge contraction sequence in the previous frame  the contraction order in the current frame is adjusted according to the deformation degree. We demonstrate that our method works efficiently and can generate better approximations with well-preserved features than previous methods. 2010 IEEE.  


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