Active, animate, purposive or behavioral vision are all understood as a research area where a seeing system interacts with the world in such a way of creating a balance between perception and action. In particular, it is said that a selective perception process in combination with a specific motion-action works as a unique complex system that accomplishes a visuomotor task. In the present work, this is understood as a visual behavior. This work describes a real-working system composed of a camera mounted on a robotic manipulator that is used as a research platform for evolving a visual routine specially designed in the estimation of specific motion-actions. The idea is to evolve an interest point detector with the goal of simplifying a well-known simultaneous localization and map building system. Experimental results shows as a proof-of-concept that the proposed system is able to design a specific interest point detector for the case of a straight-line displacement with the advantage of eliminating a number of heuristics. © 2012 Springer-Verlag.
CITATION STYLE
Hernández, D., Olague, G., Clemente, E., & Dozal, L. (2012). Evolutionary purposive or behavioral vision for camera trajectory estimation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7248 LNCS, pp. 336–345). https://doi.org/10.1007/978-3-642-29178-4_34
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