IEICE TRANSACTIONS on Information
Automatic Adjustment of the Distance Ratio Threshold in Nearest Neighbor Distance Ratio Matching for Robust Camera Tracking
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Information Vol.E94-D No.4 pp.938-940
- Publication Date
- 2011/04/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E94.D.938
- Type of Manuscript
- LETTER
- Category
- Multimedia Pattern Processing
Authors
Keyword
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Hanhoon PARK, Hideki MITSUMINE, Mahito FUJII, "Automatic Adjustment of the Distance Ratio Threshold in Nearest Neighbor Distance Ratio Matching for Robust Camera Tracking" in IEICE TRANSACTIONS on Information,
vol. E94-D, no. 4, pp. 938-940, April 2011, doi: 10.1587/transinf.E94.D.938.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E94.D.938/_p
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@ARTICLE{e94-d_4_938,
author={Hanhoon PARK, Hideki MITSUMINE, Mahito FUJII, },
journal={IEICE TRANSACTIONS on Information},
title={Automatic Adjustment of the Distance Ratio Threshold in Nearest Neighbor Distance Ratio Matching for Robust Camera Tracking},
year={2011},
volume={E94-D},
number={4},
pages={938-940},
abstract={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.},
keywords={},
doi={10.1587/transinf.E94.D.938},
ISSN={1745-1361},
month={April},}
Copy
TY - JOUR
TI - Automatic Adjustment of the Distance Ratio Threshold in Nearest Neighbor Distance Ratio Matching for Robust Camera Tracking
T2 - IEICE TRANSACTIONS on Information
SP - 938
EP - 940
AU - Hanhoon PARK
AU - Hideki MITSUMINE
AU - Mahito FUJII
PY - 2011
DO - 10.1587/transinf.E94.D.938
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E94-D
IS - 4
JA - IEICE TRANSACTIONS on Information
Y1 - April 2011
AB - 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.
ER -
English
