提出了一种新的曲面三角网格模型参数化算法——加权最小二乘离散参数化方法(WLSDP)。
A new algorithm called the weighted least square discrete parameterization (WLSDP) is presented for the parameterization of triangular meshes over a convex planar region.
最后，通过把球面参数化算法和自适应采样算法扩展到平面，我们提出一种基于传统图像压缩技术的几何信号压缩算法。
At last, by generalizing our spherical parameterization algorithm and adaptive sampling scheme to the planar case, we can adopt image compression algorithms to compress geometric signals.
严格的初始分析和计划阶段有能力产生足够的参数化的数据，以支持基于算法的方法，比如COCOMO和Soft ware Lifecycle Model (SLIM)。
A rigorous initial analysis and planning phase is capable of producing enough parametric data to feed the algorithmic methods, such as COCOMO and the Software Lifecycle Model (SLIM).
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