Eduardo Perdices

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Cameras are one of the most relevant sensors in autonomous robots. However, two of their challenges are to extract useful information from captured images, and to manage the small field of view of regular cameras. This paper proposes implementing a dynamic visual memory to store the information gathered from a moving camera on board a robot, followed by an(More)
In visual simultaneous location and mapping (SLAM) with a single camera, the use of 3D points as a basic feature has been shown sufficient to reliably estimate the camera position and orientation. Nevertheless , the resultant maps are not clear enough for certain applications, even for a large amount of point features. We propose a novel SLAM technique that(More)
Robots detect and keep track of relevant objects in their environment to accomplish some tasks. Many of them are equipped with mobile cameras as the main sensors, process the images and maintain an internal representation of the detected objects. We propose a novel active visual memory that moves the camera to detect objects in robot's surroundings and(More)
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