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This study proposes an interactive multi label object segmentation method and applications on mono and stereo images. The general segmentation problem is approached by an energy minimization on a Markov Random Field (MRF). The minimum energy potential labelling is the primary goal of the multi label segmentation algorithm. User inputs are used to determine object location and geodesic prior induced...
In this paper we present a framework for the segmentation of multiple objects from a 3D point cloud. We extend traditional image segmentation techniques into a full 3D representation. The proposed technique relies on a state-of-the-art min-cut framework to perform a fully 3D global multi-class labeling in a principled manner. Thereby, we extend our previous work in which a single object was actively...
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