Hi Rene, That's generally correct, except for the transformation of the point cloud into wireframe. The tabletop_object_detector uses sensor data directly as point clouds. You might see a wireframe displayed on the screen but that's only after a database model has been recognized. The wireframe is that of the model, superimposed on the point cloud that has been recognized. Matei On Tue, Jul 13, 2010 at 4:59 AM, René Ladan wrote: > Hi, > > below is a text I intend to include in a report. Do I get the basic ideas right? > > Regards, > Rene > > Object handling consists of several steps, which are performed by the > tabletop_object_detector (and other) nodes. > •       Get an image of the object (e.g. a pool ball) from e.g. a stereo > camera with texturing or e.g. a laser range finder. > •       Transform the image (either a stereo-photo or a “sphere” of > distances) into a point cloud. A point cloud is a collection of > points, where all points have a number of pre-defined attributes, like > spatial coordinates, color, or neighborhood density. Point clouds are > the universal data structures for performing 3-dimensional algorithms > within ROS. TODO: figure out the algorithm > •       Transform the point cloud into a wireframe. TODO: figure out which > algorithm is used for this. > •       Now that an approximate wireframe model of the object is available, > (because the camera images are probably imperfect), this model can be > compared to a database of existing, perfect wireframe models. Because > the models are stored as blobs in the database, the approximation is > done in the ROS node. The database is thus only used a storage > backend. > •       The comparison algorithm, given the actual model at one side and the > database models at the other side, is able to calculate the likelihood > that the presented object matches a or multiple objects in the > database (e.g. for a ping-pong ball, it could say “90% pool ball, 8% > bottle cap, and 2% unknown”). > > -- > http://www.rene-ladan.nl/ > > GPG fingerprint = E738 5471 D185 7013 0EE0  4FC8 3C1D 6F83 12E1 84F6 > (subkeys.pgp.net) > _______________________________________________ > ros-users mailing list > ros-users@code.ros.org > https://code.ros.org/mailman/listinfo/ros-users > -- Matei Ciocarlie Research Scientist Willow Garage Inc. 650-475-9780