| Summary: | 碩士 === 國立成功大學 === 資訊工程學系碩博士班 === 101 === With the quick advancement of computer science and the recent rise of Kinect, the application of disparity map has become a popular research topic in the past few years. Today, the prices of imaging equipment are getting lower and lower. Compared with the more expensive Kinect, the Stereo System, which acquires depth information with two cameras, becomes highly emphasized. This thesis provides a quickly Stereo system, and uses the information of sparse gradient points to find out all the possible similar points in the other image. Then, the disparity map is used to explore the possibility of each similar point being the corresponding point. Lastly, with the depth information of the neighboring points, the noises are removed and the result becomes smoother. As for the experiment, we make use of the left and right images provided by Middlebury Stereo Datasets as well as the ground truth. We process the left and right images with the above system to find the result, while comparing it with the ground truth to obtain precision.
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