Analysis of a new paradigm for depth vision application in augmented HCI

Images captured using consumer grade cameras are missing viable information of image which is depth. This also makes the image to be considered as a two dimensional image. The real life activities like recognition of objects by measuring the distance between objects become very complex and sometimes impossible. Stereo vision imaging, 3-D modeling techniques help to minimize these shortcomings. In this paper we have analyzed various novel works which used the depth information gathered from RGB-D cameras. Microsoft Kinect, a low cost RGB-D sensor has proved to be the most effective of its kind. This paper can provide a clear idea about the extensive research using these sensors that have been going on in the field of augmented Human computer interaction. The exceptional features of these depth sensors can be used to develop more sophisticated applications in the field of computer vision in near future.