RGBD object recognition and visual texture classification for indoor semantic mapping

From a set of images from dierent angles of light which gives us access to the surface appearance, we propose an approach from visual eect to geometrical specications as the

For semantic cluster similarity we use an adapted form of a similarity measure from related work, where we combine idf scoring with word by word cosine similarity to calculate

We investi-gate available capabilities to model and create dynamic container-based virtual infrastructures sharing a common set of physical resources, and evaluate

The standard ICP starts with two point clouds and an initial guess for their relative rigid-body transform, and iteratively refines the trans- form by repeatedly generating pairs

Binomial tree broadcast: The optimal approach for homogeneous clusters (with- out considering message partitioning) considers that all nodes having received the message at a given

Then, either we choose a complex minimization process, able to find the global minimum of the cost function, either we try to express the homography as a function of parameters that

Our main contribution is a complete method for indoor navigation (automatic construction of a navigation route, initial localization that enables the robot to start from any

The results obtained in this work with the moving cluster method significantly increase the number of Pleiades stars with known individual distances, thus yielding a sample that is