Abstract
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 VectorMachine 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.
Cite
CITATION STYLE
Nakajima, C., & Pontil, M. (2002). Maintenance training of electric power facilities using object recognition by SVM. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2388, pp. 112–119). Springer Verlag. https://doi.org/10.1007/3-540-45665-1_9
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
