Object identification using automated decision tree construction approach for robotics applications
Object identification using automated decision tree construction approach for robotics applications
复制标题
使用自动决策树构建方法进行机器人应用的对象识别
DOI：
10.1002/rob.4620040306
复制
发表时间：
1987
期刊：
影响因子：
--
通讯作者：
M. Lanzo
中科院分区：
文献类型：
--
作者：
R. Luo;R. Scherp;M. Lanzo
本文的目的是提出一种使用自动决策树生成技术对机器人应用进行对象识别和分类的新颖方法。开发的方法依赖于从对象类中提取的简单统计测量，并以距离矩阵“D”的形式表示以形成决策树。这里提出的算法计算效率高且易于实现。自动评估特征的有效性，允许仅自动选择完成对象识别和分类所需的特征。算法的性能已成功测试和演示。
The objective of this article is to present a novel approach to object recognition and classification for robotic applications using the automated decision tree generation technique. The method developed relies upon simple statistical measurements extracted from object classes and represented in the form of a distance matrix ‘D’ to form a decision tree. The algorithms presented here are computationally efficient and simple to implement. The effectiveness of the features are automatically assessed, allowing for the automatic selection of only those features needed to accomplish object recognition and classification. The performance of the algorithms are successfully tested and demonstrated.