Automatic Adjustment of the Distance Ratio Threshold in Nearest Neighbor Distance Ratio Matching for Robust Camera Tracking

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概要

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• In nearest neighbor distance ratio (NNDR) matching the fixed distance ratio threshold sometimes results in an insufficient number of inliers or a huge number of outliers, which is not good for robust tracking. In this letter, we propose adjusting the distance ratio threshold based on maximizing the number of inliers while maintaining the ratio of the number of outliers to that of inliers. By applying the proposed method to a model-based camera tracking system, its effectiveness is verified.

• （社）電子情報通信学会の論文
• 2011-04-01

著者

• Fujii Mahito

  Nhk (japan Broadcasting Corporation) Science & Technology Research Laboratories

• Mitsumine Hideki

  Nhk (japan Broadcasting Corporation) Science & Technology Research Laboratories

• PARK Hanhoon

  NHK (Japan Broadcasting Corporation) Science & Technology Research Laboratories

• Park Hanhoon

  Nhk (japan Broadcasting Corporation) Science & Technology Research Laboratories

関連論文

• Fast Detection of Robust Features by Reducing the Number of Box Filtering in SURF
• Automatic Adjustment of the Distance Ratio Threshold in Nearest Neighbor Distance Ratio Matching for Robust Camera Tracking
• A Cost-Effective and Robust Edge-Based Blur Metric Based on Careful Computation of Edge Slope

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