摘要
为了完成基于多自由度的机械臂人脸素描,实现精确的空间点对点映射控制,提出素描绘画算法。该算法由改良型的神经网络算法和人物图像矢量化算法组成。该算法通过合理分解目标空间,严格选择采样点,在保证精度的情况下,具有实用性强,计算量小的特点,可适用于大量嵌入式平台。这保证了机械臂人脸素描的快速性和通用性。
For the purpose of making a robot arm which can sketch vividly, a sketch painting algorithm is proposed. The algorithm is based on improved neural network algorithm and character image vectorization algorithm. It features practical and small amount of calculation, can be applied in lots of embedded system platforms. It makes face sketch fast and popular.
出处
《电子技术（上海）》
2013年第4期6-9,共4页
Electronic Technology
关键词
机械臂
机械素描
神经网络算法
图像矢量化
robot arm
facial sketch
neural network algorithm
image vectorization
