Abstract
This paper presents a method for recognizing objects in 3D point clouds. Based on a structural model of these objects, we generate hypotheses for the location and 6DoF pose of these models and verify them by matching a CAD model of the object into the point cloud. Our method only needs a CAD model of each object class; no previous training is required.
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Günther, M., Wiemann, T., Albrecht, S., Hertzberg, J. (2011). Model-Based Object Recognition from 3D Laser Data. In: Bach, J., Edelkamp, S. (eds) KI 2011: Advances in Artificial Intelligence. KI 2011. Lecture Notes in Computer Science(), vol 7006. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24455-1_9
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DOI: https://doi.org/10.1007/978-3-642-24455-1_9
Publisher Name: Springer, Berlin, Heidelberg
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