| THREE-IMAGE MATCHING FOR 3-D LINEAR OBJECT TRACKING |
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| 作者姓名： | SHAO Juliang Clive Fraser |
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| 作者单位： | |
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| 摘 要： | 1 ＩｎｔｒｏｄｕｃｔｉｏｎＴｈｒｅｅｄｉｍｅｎｓｉｏｎａｌ(3＿Ｄ)ｌｉｎｅａｒｏｂｊｅｃｔｔｒａｃｋｉｎｇｉｓａｋｅｙｏｐｅｒａｔｉｏｎｆｏｒａｎｕｍｂｅｒｏｆｓｔｅｒｅｏｖｉｓｉｏｎａｐｐｌｉ ｃａｔｉｏｎｓ,ｆｏｒｅｘａｍｐｌｅ ,ａｕｔｏｎｏｍｏｕｓｏｎ＿ｒｏａｄｖｅｈｉｃｌｅｎａｖｉｇａｔｉｏｎ2 ,5 ,9] ａｎｄｍｏｂｉｌｅｍａｐｐｉｎｇ3,1 1 ,1 8] .Ｓｕｃｈｓｙｓｔｅｍｓｔｙｐｉｃａｌｌｙｅｘｐｌｏｉｔｔｗｏｓｔｅｒｅｏｉｍａｇｅｓｏｎｌｙｆｏｒｌｉｎｅａｒｏｂｊｅｃｔｔｒａｃｋｉｎｇ .Ｂｉ…
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| 收稿时间： | 15 July 2002 |
Three-image matching. For 3-D linear object tracking |
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| SHAO Juliang,Clive Fraser.THREE-IMAGE MATCHING FOR 3-D LINEAR OBJECT TRACKING[J].Geo-Spatial Information Science,2000,3(2):13-18,40. |
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| Authors: | Shao Juliang Clive Fraser |
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| Institution: | SHAO Juliang Clive Fraser |
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| Abstract: | This paper will discuss strategies for trinocular image rectification and matching for linear object tracking.It is well known that a pair of stereo images generates two epipolar images.Three overlapped images can yield six epipolar images in situations where any two are required to be rectified for the purpose of image matching.In this case,the search for feature correspondences is computationally intensive and matching complexity increases.A special epipolar image rectification for three stereo images,which simplifies the image matching process,is therefore proposed.This method generates only three rectified images,with the result that the search for matching features becomes more straightforward.With the three rectified images,a particular line_segment_based correspondence strategy is suggested.The primary characteristics of the feature correspondence strategy include application of specific epipolar geometric constraints and reference to three_ray triangulation residuals in object space. |
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| Keywords: | three_image matching 3_D linear object tracking |
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