The results of the simulation indicate the new arithmetic can normally work under the normal noise environment, and can greatly save the acquiring time without increasing the hardware complexity.
结果表明，新算法能在一般的噪声环境中正常工作，而且，在硬件复杂度增加不大的前提下，其在捕获时间上具有明显优势。
The least square method is compared with normal arithmetic to show its superiority.
通过将其与一般算法进行比较，体现了最小二乘法的优越性。
Based on the primary quadric error metric arithmetic, combined with boundary constrained condition and normal restriction, the primary arithmetic is modified and the application scope is extended.
在二次误差度量算法的基础上，考虑边界约束条件和法向量限制，扩展了算法的应用范围。
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