Skip to Content

Visual Localization & Maping

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.