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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 56SourceScholar
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 17SourceScholar