Socket Connector Recognition Based on SVM with Speeded Up Robust Feature (SURF)

摘要：

SURF descriptor is characterized with invariance for image shifting and changes of scale and view angle. sVM is regarded as a popular method in object recognition. In this paper, a method used in socket connector recognition based on SVM with SURF is proposed. At first, a SURF vector is constructed by extracting the invariant features. Then classification with SVM is carried out. Finally, the accuracy rate of this method is verified and validated by contrast test with SVM method with graylevel feature.

关键词： SURF SVM object recognition.

作者: Ming Zhao Shiyin Qin

作者单位: School of Automation Science and Electrical Engineering,BUAA,Beijing,100091,China

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 4055-4059

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）