Depth and Disparity Visualization of 3D Camera Images in Stereoscopic Imaging Technology

Abstract

The advancement in the stereo vision technology has provided a modern approach in the process of making 3D movies, animations and graphics. In the world of 3D, stereoscopic imaging technology has been extensively used in many applications ranging from Augmented Reality to Virtual Reality. Also, 3D imaging systems is always a challenging task in order to control the convergence and focus of the pair of cameras so as to obtain a clear stereoscopic (3D) image. The main goal of this research is to extract more accurate and abundant information related with depth and disparity estimation of stereo image pairs by image processing techniques. The visual perception to view a pair of 2D images simultaneously is a crucial factor to build a 3D image. In this thesis, we present the effect of binocular cues (depth and disparity) between the intensities of two stereo images which has essential relevance for the visualization of a stereoscopic or 3D image. Due to this stereoscopic effect, two images of the same scene taken at slightly different positions from the cameras differ in their horizontal positions providing the depth visualization between two images. The term ‘disparity’ represents the amount of horizontal shifting between the left camera image and the right camera image. Meanwhile, this dissertation seeks to investigate the formation of a 3D image from two stereo image pairs and obtain other relevant information related to it. Thus, this thesis reviews the study based on the comparison between two stereo image pairs and acquiring the significant analytical and calculative approach in the domain of 3D visualization.