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Chapter and Conference Paper
Applicability of Deep Learned vs Traditional Features for Depth Based Classification
In robotic applications, highly specific objects such as industrial parts, for example, often need to be recognized. In these cases methods can’t rely on the online availability of large labeled training data ...
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Chapter and Conference Paper
On the Use of the Tree Structure of Depth Levels for Comparing 3D Object Views
Today the simple availability of 3D sensory data, the evolution of 3D representations, and their application to object recognition and scene analysis tasks promise to improve autonomy and flexibility of robots...
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Chapter
The ‘Chinese Deviant’: Building the Perfect Enemy in a Local Arena
The textile manufacturing tradition characterising the city of Prato and its surroundings dates back to the twelfth and thirteenth centuries. At the end of the nineteenth century, the arrival of the Industrial...
