Mauro Antonello

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In this paper, we present an improved version of our Dual Laser Triangulation System, a low-cost color 3D model acquisition system built with commonly available machine vision products. The system produces a color point cloud model of scanned objects that can be used to perform completeness inspection tasks on assembly lines. In particular, we show that(More)
In this work we present a novel approach for object recognition and pose estimation suited for a personal robot environment. The described technique addresses the peculiar requirements of this field, such as the system responsiveness and the capability of learning new object models online. Our method makes use of a novel variant of the Mixture of Gaussian(More)
In this work, we propose a sparse features-based object recognition and localization system, well suited for online learning of new objects. Our method takes advantages of both depth and ego-motion information, along with salient feature descriptors information, in order to learn and recognize objects with a scalable approach. We extend the conventional(More)
In this paper we introduce an inexpensive yet efficient photogrammetry system that takes advantage of state of art computer vision techniques to monitor large natural environments. Specifically, our system provides a precise evaluation of the terrain flow in wide landslides through optical flow applied to 2D image sequences and a back-projection of the(More)
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