Covariant Support Region and Detection Algorithm Based on LoG Corners

摘要：

Detection of Local feature covariant region is a new technology of image contents and image semantic representations, and it has become an important foundation of the image recognition, learning and understanding. First, a Laplace of Gaussian corner detection method is proposed based on edge contour curves, in the meantime, a new local feature descriptor, named covariant support region, is introduced. Then, a detection algorithm of covariant support region is framed, which is covariant for rotation and scale transformation. Comparing with previous studies, the computational complexity of proposed algorithm is significantly reduced by this method. The experiments data indicate that the method proposed in this papaer has good performance on higher accuracy, higher repeatability, and lower complexity.

作者: Yawei Liu Jianwei Li

作者单位: School of Science,Chongqing Jiaotong University Key Lab on Opto-Electronic Technique of State Educat School of Opto-electronic Engineering,Chongqing University Key Lab on Opto-Electronic Technique of S

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Robotics and Biomimetics(2009 IEEE 机器人与仿生技术国际会议 ROBIO 2009)

会议地点: 桂林

会议语种:英文

页码: 1200-1204

在线出版日期: 2009-12-19（万方平台首次上网日期，不代表论文的发表时间）