Optimal Homography Computation with a Reliability Measure(Special Issue on Machine Vision Applications)
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概要
- 論文の詳細を見る
We describe a theoretically optimal algorithm for computing the homography between two images. First, we derive a theoretical accuracy bound based on a mathematical model of image noise and do simulation to confirm that our renormalization technique effectively attains that bound. Then, we apply our technique to mosaicing of images with small overlaps. By using real images, we show how our algorithm reduces the instability of the image mapping.
- 社団法人電子情報通信学会の論文
- 2000-07-25
著者
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Kanazawa Yasushi
The Department Of Knowledge-based Information Engineering Toyohashi University Of Technology
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KANATANI Kenichi
the Department of Computer Science, Gunma University
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OHTA Naoya
the Department of Computer Science, Gunma University
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Kanatani Kenichi
The Department Of Computer Science Gunma University
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Ohta Naoya
The Department Of Computer Science Gunma University
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- Optimal Homography Computation with a Reliability Measure(Special Issue on Machine Vision Applications)
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