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Tim Patten

1 accepted papers

2016

Viewpoint Evaluation for Online 3-D Active Object Classification

RA-L 2016

We present an end-to-end method for active object classification in cluttered scenes from RGB-D data. Our algorithms predict the quality of future viewpoints in the form of entropy using both class and pose. Occlusions are explicitly modeled in predicting the visible regions of objects, which modula

Cited by 43SourceScholar