Feature Detection by Color Tensor-based Photometric Invariants

摘要：

Although the majority of images are recorded in color format nowadays, computer vision research is still mostly restricted to luminance-based feature detection.In this paper, we combine the features based on the color tensor with photometric invariant derivatives to arrive at photometric invariant features.The combination of the photometric invariance theory and tensor based features allows for detection of a variety of features such as photometric invariant edges, corners.Experiments show that the proposed features are robust to scene incidental events and perform well in real-world scene.

关键词： feature detection color tensor photometric invariants

作者: Xingsheng Yuan Zhengzhi Wang

作者单位: College of Electromechanical Engineering and Automation,National university of defense technology,Changsha,China

会议类型: 国际会议

会议名称: 2011 2nd International Conference on Material and Manufacturing Technology(2011第二届材料与制造技术国际会议 ICMMT2011)

会议地点: 厦门

会议语种:英文

页码: 540-545

在线出版日期: 2011-07-08（万方平台首次上网日期，不代表论文的发表时间）