Optimization Algorithms for Corner Features

摘要：

As one of the most important local features, corner feature contains lots of information with the shape of the objects. After analyzing of several fashionable corner features at present, some optimization algorithms are proposed. These features after optimizing are invariant to image scale and rotation, and are shown robust to addition of noise and changes in 3D viewpoint. In this paper, we describe the approaches to recognize rigid objects using these features. As baselines for comparison, we also implemented some additional recognition systems. The performance analysis on the obtained experimental results demonstrates that the proposed optimization algorithms are effective and efficient.

关键词： optimization algorithm corner feature object recognition feature extraction clustering

作者: Jian Cao Hongqian Chen Huijun Ma Yong Wang

作者单位: College of Computer and Information Engineering Beijing Technology and Business University Beijing, Business School of Beijing Technology and Business University Beijing, 100048, China

会议类型: 国际会议

会议名称: 2010 Third International Symposium on Knowledge Acquisition and Modeling(第三届知识获取与建模国际研讨会 KAN 2010)

会议地点: 武汉

会议语种:英文

页码: 437-440

在线出版日期: 2010-10-20（万方平台首次上网日期，不代表论文的发表时间）