Image Co-Segmentation via Locally Biased Discriminative Clustering

Object co-segmentation aims at simultaneously extracting common objects appeared in multiple images. In this paper, we propose a novel object co-segmentation method in which we formulate the image co-segmentation as a locally biased discriminative clustering problem. Specifically, we add a seed vector and a constraint term into the framework of discriminative clustering to constrain the segmentation result bias to this seed vector. In order to...