In this paper we address the object recognition problem in a probabilistic framework to detect and describe object appearance through image features organized by means of active c...
In this paper, the problem of underwater scene understanding from multisensory data is addressed. Acoustic and optical devices onboard an underwater vehicle are used to sense the ...
Andrea Fusiello, Riccardo Giannitrapani, V. Isaia,...
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a weakly-supervised manner: the model is learnt from examp...
A display tool has been developed to perform simulation and three-dimensional rendering of prints in the quest towards achieving improved soft proofing capabilities. It was desire...
Rohit A. Patil, Mark D. Fairchild, Garrett M. John...
We present an efficient method within an active vision framework for recognizing objects which are ambiguous from certain viewpoints. The system is allowed to reposition the camer...
Hermann Borotschnig, Lucas Paletta, Manfred Prantl...