Artificial Intelligence
The synthesis of vision and action
Exploratory vision
Active Perception
Real-Time Simultaneous Localisation and Mapping with a Single Camera
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Monocular model-based 3D tracking of rigid objects
Foundations and Trends® in Computer Graphics and Vision
Automated design of image operators that detect interest points
Evolutionary Computation
Interest point detection through multiobjective genetic programming
Applied Soft Computing
Object recognition with an optimized ventral stream model using genetic programming
EvoApplications'12 Proceedings of the 2012t European conference on Applications of Evolutionary Computation
Evolving visual attention programs through EVO features
EvoApplications'12 Proceedings of the 2012t European conference on Applications of Evolutionary Computation
Evolutionary purposive or behavioral vision for camera trajectory estimation
EvoApplications'12 Proceedings of the 2012t European conference on Applications of Evolutionary Computation
Self-adjusting focus of attention by means of GP for improving a laser point detection system
Proceedings of the 15th annual conference on Genetic and evolutionary computation
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The goal of purposive or behavioral vision is to study the interactions of a visual system with the real world, creating a balance between perception and action. It is said that a system that accomplishes a visuomotor task needs to implement a selective perception process allowing specific motionaction commands. This combination is understood as a visual behavior. This paper describes a real-working system, consisting of a robotic manipulator in a hand-eye configuration, which is used as a research platform in order to evolve a specialised visual routine capable of estimating specific motion-actions. The core idea is to evolve a conspicuous point detector, based on the artificial dorsal stream model, with the purpose of using this detector inside a simultaneous localization and map building system. Experimental results show as a proof-of-concept several interesting ideas; first, that it is in fact possible to find prominent points in an image through a visual attention process; and second, that the proposed system is able to design specific visual behaviors.