  Conventional approaches to image de-fencing have limited themselves to using
only image data in adjacent frames of the captured video of an approximately
static scene. In this work, we present a method to harness disparity using a
stereo pair of fenced images in order to detect fence pixels. Tourists and
amateur photographers commonly carry smartphones/phablets which can be used to
capture a short video sequence of the fenced scene. We model the formation of
the occluded frames in the captured video. Furthermore, we propose an
optimization framework to estimate the de-fenced image using the total
variation prior to regularize the ill-posed problem.
