04b Atto di convegno in volume
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In this work we present an embedded and all-in-one system for machine vision in industrial settings. This system enhances the capabilities of an industrial robot providing vision and perception, e.g. deep learning based object detection and 3D reconstruction by mean of efficient and highly scalable...
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We present a novel smart camera - the FlexSight C1 - designed to enable an industrial robot to detect and localize several types of objects and parts in an accurate and reliable way. The C1 integrates all the sensors and a powerful mini computer with a complete Operating System running robust 3D...
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Convolutional Neural Networks (CNNs) trained on large scale RGB databases have become the secret sauce in the majority of recent approaches for object categorization from RGB-D data. Thanks to colorization techniques, these methods exploit the filters learned from 2D images to extract meaningful...
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Since Convolutional Neural Networks (CNNs) have become the leading learning paradigm in visual recognition, Naive Bayes Nearest Neighbor (NBNN)-based classifiers have lost momentum in the community. This is because (1) such algorithms cannot use CNN activations as input features, (2) they cannot be...
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