Sciweavers

Share
CVPR
2009
IEEE

Half-integrality based algorithms for Cosegmentation of Images

10 years 2 months ago
Half-integrality based algorithms for Cosegmentation of Images
We study the cosegmentation problem where the objective is to segment the same object (i.e., region) from a pair of images. The segmentation for each image can be cast using a partitioning/segmentation function with an additional constraint that seeks to make the histograms of the segmented regions (based on intensity and texture features) similar. Using Markov Random Field (MRF) energy terms for the simultaneous segmentation of the images together with histogram consistency requirements using the squared L2 (rather than L1) distance, after linearization and adjustments, yields an optimization model with some interesting combinatorial properties. We discuss these properties which are closely related to certain relaxation strategies recently introduced in computer vision. Finally, we show experimental results of the proposed approach.
Chuck R. Dyer, Lopamudra Mukherjee, Vikas Singh
Added 05 May 2009
Updated 10 Dec 2009
Type Conference
Year 2009
Where CVPR
Authors Chuck R. Dyer, Lopamudra Mukherjee, Vikas Singh
Comments (0)
books