Object Recognition in 3D Laser Radar Data using Plane Triplets
نویسنده
چکیده
This report describes a method to detect and recognize objects from 3D laser radar data. The method is based on local descriptors computed from triplets of planes that are estimated from the data set. Each descriptor that is computed on query data is compared with descriptors computed on object model data to get a hypothesis of object class and pose. An hypothesis is either verified or rejected using a similarity measure between the model data set and the query data set.
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تاریخ انتشار 2005