Development of depth map reconstruction algorithm from stereo images using local-based technique

Mohamad Saupi, Izzat (2022) Development of depth map reconstruction algorithm from stereo images using local-based technique. Project Report. Melaka, Malaysia, Universiti Teknikal Malaysia Melaka. (Submitted)

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Abstract

This project provides a method for solving the issue of correspondence when matching the stereo image using local-based techniques. This technique is called "Sum of Absolute Differences" (SAD). MATLAB software provides the tool. A map of disparities is produced through the block matching algorithm, Sum of Absolute Differences (SAD). For example, there are four basic steps in the stereo vision method for imaging the reconstruction. There are typically four phases to this. The distortion of the captured images from the camera lens is extracted first in the undistortion step. The next step is to adjust the distance and the elevation angle between the two camera images to determine the focal length and the epipolar axis, as presumed beyond. The comparison between the left and right image will be calculated in the correspondence stage and used to measure the map of disparities. This method is often known as being interoperable. This project was able to develop a stereo matching algorithm using the sum of absolute differences to do the depth map reconstruction from the proposed algorithm and a simple stereo algorithm that computes results comparable to the current state-of-the-art on the Middlebury benchmark

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