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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...
In recent times, the availability of inexpensive image capturing devices such as smartphones/tablets has led to an exponential increase in the number of images/videos captured. However, sometimes the amateur photographer is hindered by fences in the scene which have to be removed after the image has been captured. Conventional approaches to image de-fencing suffer from inaccurate and non-robust fence...
Low cost RGB-D sensors such as the Microsoft Kinect have enabled the use of depth data along with color images. In this work, we propose a multi-modal approach to address the problem of removal of fences/occlusions from images captured using a Kinect camera. We also perform depth completion by fusing data from multiple recorded depth maps affected by occlusions. The availability of aligned image and...
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