3D Structure from a Single Calibrated View Using Distance Constraints
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概要
- 論文の詳細を見る
We propose a new method to recover scene points from a single calibrated view using some known distances among the points. This paper first introduces the problem and its relationship with the perspective n point problem. Then the minimal number of distances required to uniquely recover scene points are derived. The theory has been developed into a practical vision algorithm to calculate the initial points' coordinates using distance constraints. Finally SQP (Sequential Quadratic Programming) is used to optimize the initial estimations. It can minimize a cost function defined as the sum of squared reprojection errors while keeping the specified distance constraints strictly satisfied. Both simulation data and real scene images have been used to test the proposed method, and very good results have hppn obtained.
- 一般社団法人情報処理学会の論文
- 2003-11-06
著者
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XU Gang
Department of Pediatrics, Hirosaki University School of Medicine
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Xu G
National Inst. Advanced Industrial Sci. And Technol. Nagoya Jpn
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Xu Gang
富山大学 医学薬学研究部小児科学
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Xu Gang
Department Of Pediatrics Hirosaki University School Of Medicine
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Xu G
立命館大
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Gong R
Ritsumeikan Univ. Kusatsu‐shi Jpn
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- 3D Structure from a Single Calibrated View Using Distance Constraints