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Aitor Aldoma

2 accepted papers

2015

RGB-D object modelling for object recognition and tracking

IROS 2015poster

This work presents a flexible system to reconstruct 3D models of objects captured with an RGB-D sensor. A major advantage of the method is that unlike other modelling tools, our reconstruction pipeline allows the user to acquire a full 3D model of the object. This is achieved by acquiring several pa…

Cited by 56Source ↗Scholar ↗
2015

Temporal integration of feature correspondences for enhanced recognition in cluttered and dynamic environments

ICRA 2015poster

We propose a method for recognizing rigid object instances in RGB-D point clouds by accumulating low-level information from keypoint correspondences over multiple observations. Compared to existing multi-view approaches, we make fewer assumptions on the recognition problem, dealing with cluttered an…

Cited by 17Source ↗Scholar ↗