In this paper we face the problem of accurate location of a laser spot that is used as interaction system in real environments. The work presented is compared with previous approaches where different algorithms work with a single objective, using images that has been previously simplified to reduce computing time. Instead, the new approach presented in this paper is capable of processing whole images. The results show that the inclusion of multi-objective methods allows us not only to detect the presence of the laser spot, the single objective in previous works, but also to obtain accurate information of the laser spot in the image, and thus provide the location of the device on which the user wants to act.
CITATION STYLE
Chávez, F., Clemente, E., Hernández, D. E., De Vega, F. F., & Olague, G. (2015). A multi-objective evolutionary algorithm for interaction systems based on laser pointers. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9028, pp. 504–516). Springer Verlag. https://doi.org/10.1007/978-3-319-16549-3_41
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