Skip to Content

Scene Inspection

By combining different computer vision techniques, such as motion estimation and image alignment, applied to information extracted by cameras, we manage to track objects in the scene, overcoming the constraints of real-time operations. We test the performances of these approaches in Unmanned Vehicles (aerial/ground).
By means of employing computer vision techniques, it is possible to perform visual inspections of natural environments, areas with the purpose of identifying and recognizing. This is useful in a wide array of activities of civilian nature.
We study the problem of the interpretation of a scene from a collection of basic features, such as lines and points, or more complex ones, such as SIFT or SURF features that are automatically extracted form single images and are tracked throughout an image sequence. These features are the basis of the visual SLAM algorithm for the localization and mapping from aerial images.