The paper presents a novel multi-view learning framework based on variational inference. We formulate the framework as a graph representation in form of graph factorization: the g...
In this paper, we present a novel localized Markov random field (MRF) method based on superpixels for region segmentation. Early vision problems could be formulated as pixel label...
In this work semantic features are used to improve the results of the camera selection. These semantic features are group action, person action and person speaking. For this purpo...
The convergence of the Internet and ubiquitous technologies offers an unprecedented level of convenience for information collection, accessing, and sharing through mobile devices ...
In many multi-view stereo (MVS) algorithms, a point-cloud evolution is performed, based on the matching process. For most of them, an assumption is usually employed for the matchi...