Graph-cuts based algorithms are effective for a variety
of segmentation tasks in computer vision. Ongoing research
is focused toward making the algorithms even more general,
as ...
We introduce a novel image segmentation algorithm that uses translational symmetry as the primary foreground/background separation cue. We investigate the process of identifying a...
Yanxi Liu, Tamara Belkina, James Hays, Roberto Lub...
Currently, sharp discontinuities in depth and partial occlusions in multiview imaging systems pose serious challenges for many dense correspondence algorithms. However, it is impo...
Reconstruction-based super-resolution from motion video has been an active area of study in computer vision and video analysis. Image alignment is a key component of super-resoluti...
An approach is presented for imposing generic hard constraints on deformable models at a low computational cost, while preserving the good convergence properties of snake-like mod...