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Geometric image segmentation via transform invariant rank cuts
(University of Missouri--Columbia, 2012)
This research propose a novel image segmentation algorithm, named as Transform Invariant Rank Cuts (TIRC). Based on salient 3D geometric information of natural scenes. The segmentation algorithm unities an emerging robust ...
Object detection with large intra-class variation
(University of Missouri--Columbia, 2011)
For object detection, the state-of-the-art performance is achieved through supervised learning. The performances of object detectors of this kind are mainly determined by two factors: features and underlying classification ...