Abstract— Linking semantic and spatial information has become an important research area in robotics since, for robots interacting with humans and performing tasks in natural env...
In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Gaussian Mixture Models (GMM). We build our models on Principal ...
Faisal I. Bashir, Ashfaq A. Khokhar, Dan Schonfeld
In this paper, we present a new recognition system for the fast detection and classification of objects in spatial 3D data. The system consists of two main components: A biologic...
This paper presents a new concept for 3D coding of freeform surfaces. The proposed coding technique uses the surface signature representation scheme [1]. This representation schem...
This paper presents a novel method for quickly filtering range data points to make object recognition in large 3D data sets feasible. The general approach, called "3D cueing,...