DocumentCode
3546095
Title
Socket connector recognition based on SVM with speeded up robust feature (SURF)
Author
Zhao, Ming ; Qin, Shiyin
Author_Institution
Sch. of Autom. Sci. & Electr. Eng., BUAA, Beijing, China
fYear
2009
fDate
16-19 Aug. 2009
Abstract
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 gray-level feature.
Keywords
feature extraction; object recognition; support vector machines; SURF descriptor; SVM; features extraction; gray-level feature; object recognition; socket connector recognition; speeded up robust feature; support vector machines; Aerospace industry; Connectors; Feature extraction; Image recognition; Instruments; Object recognition; Robustness; Sockets; Support vector machine classification; Support vector machines; SURF; SVM; object recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-3863-1
Electronic_ISBN
978-1-4244-3864-8
Type
conf
DOI
10.1109/ICEMI.2009.5274714
Filename
5274714
Link To Document