Computer vision is the core of recent research to extract useful information of the computer generated 2D images for solving controlling tasks in industrial applications. In vision research, representing an image in 2D will lose some depth information like geometrical relations between the objects. Disparity estimation has added the essence for the basic need of finding depth information. Initially, a survey was conducted on robotics based vision algorithms which revealed some issues such as correspondence, rectification and reconstruction that had not been properly analyzed. Subsequently, a few vision algorithms were developed to provide some partial solutions for the correspondence problem. These algorithms tried to minimize the computational complexity. Despite the attempts made by a few 3D stereo vision techniques for addressing these problems, there has been no achievement of satisfactory accuracy. The research work is to increase the accuracy of the 3D reconstruction with optimum level of mismatches.

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