Nakajima, C and Pontil, M (2002) Maintenance training of electric power facilities using object recognition by SVM. In: Lee, SE and Verri, A, (eds.) PATTERN RECOGNITON WITH SUPPORT VECTOR MACHINES, PROCEEDINGS. (pp. 112 - 119). SPRINGER-VERLAG BERLIN
Full text not available from this repository.
We are developing a support system for maintenance training of electric power facilities using augmented reality. To develop in the system, we evaluated the use of Support Vector Machine Classifier (SVM) for object recognition. This paper presents our experimental results of object recognition by combinations of SVMs. The recognition results of over 10,000 images show very high performance rates. The support system that uses the combinations of SVMs works in real time without special marks or sensors.
|Title:||Maintenance training of electric power facilities using object recognition by SVM|
|Event:||1st International Workshop on Pattern Recognition with Support Vector Machines|
|Location:||NIAGARA FALLS, CANADA|
|Keywords:||SUPPORT VECTOR MACHINES|
|UCL classification:||UCL > School of BEAMS > Faculty of Engineering Science > Computer Science|
Archive Staff Only: edit this record