FENG Qiqiang, LI Zongchun, CHEN Xin, LI Guangyun. Cluster Matching of Artificial Targets in the Close Range Photogrammetry Based on the Epipolar Plane Constraint[J]. Geomatics and Information Science of Wuhan University, 2010, 35(8): 979-982.
Citation: FENG Qiqiang, LI Zongchun, CHEN Xin, LI Guangyun. Cluster Matching of Artificial Targets in the Close Range Photogrammetry Based on the Epipolar Plane Constraint[J]. Geomatics and Information Science of Wuhan University, 2010, 35(8): 979-982.

Cluster Matching of Artificial Targets in the Close Range Photogrammetry Based on the Epipolar Plane Constraint

Funds: 精密工程与工业测量国家测绘局重点实验室基金资助项目(PF2009-15)
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  • Received Date: June 14, 2010
  • Revised Date: June 14, 2010
  • Published Date: August 04, 2010
  • We present a cluster matching method of artificial targets in close range photogrammetry based on the known points and epipolar plane constraint.Firstly,all the images are grouped according to the known points such as points on the AutoBar and codes.Secondly,image triplets per known point and their geometrical quality are calculated.Finally,parts of the image triplets with best geometric goodness are selected to match following the epipolar plane constraint.The experimental results show that more than 95% image points of about 10 000 in round 100 pieces of images are matched in less than 5 s,with matching error rates less than 0.1‰.
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