Estimating correspondence between two images and extracting the foreground
object are two challenges in computer vision. With dual-lens smart phones, such
as iPhone 7Plus and Huawei P9, coming into the market, two images of slightly
different views provide us new information to unify the two topics...
a joint method to tackle them simultaneously via a joint fully connected
conditional random field (CRF) framework. The regional correspondence is used
to handle textureless regions in matching and make our CRF system
computationally efficient. Our method is evaluated over 2,000 new image pairs,
and produces promising results on challenging portrait images.