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In this paper, we present a new graph-based frame work for collaborative place, object, and part recognition in indoor environments. We consider a scene to be an undirected graphical model composed of a place node, object nodes, and part nodes with undirected links. Our key contribution is the...
This paper presents a new robot-vision system architecture for real-time moving object localization. The 6-DOF (3 translation and 3 rotation) motion of the objects is detected and tracked accurately in clutter using a model-based approach without information of the objects’ initial positions....
In this work we propose a probabilistic model for generic object classification from raw range images. Our approach supports a validation process in which classes are verified using a functional class graph in which functional parts and their realization hypotheses are explored. The validation...
In this paper, we propose a novel method for shape analysis that is suitable for any multi-dimensional data set that can be modelled as a manifold. The descriptor is obtained for any pair ( M , ϕ ), where M is a closed smooth manifold and ϕ is a Morse function defined on M . More precisely, we...
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