Simone Giardino

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Recent local state-of-the-art stereo algorithms based on variable cost aggregation strategies allow for inferring disparity maps comparable to those yielded by algorithms based on global optimization schemes. Unfortunately, thought these results are excellent, they are obtained at the expense of high computational requirements that are comparable or even(More)
— We propose a method to perform automatic seg-mentation of 3D scenes based on a standard classifier, whose learning model is continuously improved by means of new samples, and a grouping stage, that enforces local consistency among classified labels. The new samples are automatically delivered to the system by a feedback loop based on a feature selection(More)
Motivation Three dimensional imaging has become an increasingly popular field in research and consumer electronics over the past decade. Consumer products such as the Microsoft Kinect and Oculus Rift have made the capture and display of three dimensional information available for applications such as robotics, entertainment, and gaming. One such depth image(More)
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