| 摘要: |
| 提出一种以代数张量积样条曲线作为几何表示形式,基于近似几何误差和薄板能量极小化的隐式重构模型.同时结合最优化理论中的信赖域思想,给出自适应的迭代求解算法及其实现.这种方法采取无代价初始化技术,通过迭代能稳定地达到目标点集的高质量重构,特别是对复杂形状的目标,具有很强的处理能力. |
| 关键词: 隐式重构 几何误差 代数张量积样条曲线 信赖域 动态方法 |
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| 基金项目:Supported by the National Natural Science Foundaton of China under Grant NO.10201030(国家自然科学基金);the National Science Fund for Distinguished Young Scholars under Grant No 60225002 (国家杰出青年基金);the National Research Foundation for the Doctoral Program of Higher Education of China under Grant No.20010358003(国家教育部博士点基金);the Teaching and Research Award Program for Outstanding Young Teachers in Higher Education Institutions of MOE,China(国家教育部高校优秀青年教师教学科研奖励计划):the Research Foundation for Young Scholars in University of Science and Technology of China under Grant No.kb0122(中国科学技术大学青年基金) |
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| Dynamic Implicit Curve ReconstructiOn Based On Approximate Geometric Distance |
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YANG Zhou-Wang,DENG Jian-Song,CHEN Fa-Lai
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| Abstract: |
| An implicit Curve reconstruction method is proposed which represents the curve with all algebraic tensor-product B-spline,and minimizes the tension ofthe B-spline and the approximate geometric distance between the curve and the point set.The method is dynamic and self-adaptive based on trust-region algorithm in optimization theory.The specification of the initial shape is priceless,and the high-quality reconstruction corvc is obtained in a robust way.Some examples are implemented. |
| Key words: implicit reconstruction geometric error algebraic tensor-product B-spline trust region dynamic |