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Achieving higher-order Bézier Curve based on the application of probability calculation method

机译:基于概率计算方法的高阶贝塞尔曲线

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The paper presents the Bézier Curve implementation method based on probability calculation. The method firstly normalizes the control point coordinates of Bézier Curve, and uses the off-line formed pseudo-random code to generate binary string for normalized coordinates as per certain rules, and then makes use of probability calculation method to calculate and generate Bézier Curve. By using probability calculation method, the paper gives the overall structure and algorithm theory of Bézier Curve generating, and use VC++6.0 software to simulate hardware to draw the Bézier Curve which is generated by probability calculation method. The experiment results show that compared generating Bézier Curve with the traditional direct calculation, algorithmic complexity is lower, the speed to generate the Curve is faster and is apt to be realized on hardware.
机译:提出了一种基于概率计算的贝塞尔曲线实现方法。该方法首先对贝塞尔曲线的控制点坐标进行归一化,然后使用离线形成的伪随机码按照一定的规则为归一化坐标生成二进制字符串,然后利用概率计算方法计算并生成贝塞尔曲线。通过概率计算方法,给出了贝塞尔曲线生成的总体结构和算法原理,并利用VC ++ 6.0软件对硬件进行了仿真,绘制出了概率计算方法生成的贝塞尔曲线。实验结果表明,与传统的直接计算相比,生成贝塞尔曲线的算法复杂度较低,生成曲线的速度较快,易于在硬件上实现。

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