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Key Technologies Of Infrared Video Radar System

Posted on:2012-11-03Degree:MasterType:Thesis
Country:ChinaCandidate:J J ChuFull Text:PDF
GTID:2178330332483339Subject:Information and Communication Engineering
Abstract/Summary:PDF Full Text Request
With the development of technology in image processing and machine vision, measure the depth of objects through the binocular stereo vision method is used in the intelligence system more widely.Focus of this paper is the two key technologies of infrared video radar system. First, this paper presents a digital delay technology based sub-pixel matching method. Second, presents a method that uses manifold learning to solve the jitter of camera.Chapter 1:Introduction to the status of stereo matching algorithm, and analyze some of the problems of existing algorithms.Chapter 2:The paper discusses some of the basic theory of stereo vision, including the basic principle of binocular stereo vision, camera calibration and image correction method.Chapter 3:Principles of stereo matching algorithms and a variety of methods. Three categories of current common stereo matching are introduced.Chapter 4:Description of technology based on digital delay sub-pixel matching. First of all, the overall matching process is introduced, and second, the basic principles of digital delay technology are described, finally, how to use the digital delay technology in stereo match is described.Chapter 5:The method for solving the problem of the camera shaking is described. In this chapter, we discuss the problems of jitter and the existing methods, how to solve the problem of the background jitter in moving target detection using the idea of manifold.Chapter 6:Summary of the research work of this paper and the future prospect of the follow-up study will be carried out.
Keywords/Search Tags:Binocular Stereo Vision, Stereo Matching, Technology of Digital Delay, Camera Shaking, Manifold
PDF Full Text Request
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