Abstract
In this paper, we present a new approach for matching local descriptors such as Scale Invariant Feature Transform (SIFT) ones in order to recognize image objects quickly and reliably. The proposed method first computes the Hausdorff distance combined with the City-Block distance to match the two sets of the extracted keypoints from the goal and data images, respectively. Then, the matched points are involved into an embedded pairing process, leading to a double matching which is more discriminant for the object recognition purpose as demonstrated on real-world standard databases.
Original language | English |
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Title of host publication | 2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings |
Pages | 2385-2388 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 2012 |
Event | 19th IEEE International Conference on Image Processing - Lake Buena Vista, United States Duration: 30 Sep 2012 → 3 Oct 2012 Conference number: 19 |
Conference
Conference | 19th IEEE International Conference on Image Processing |
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Abbreviated title | ICIP 2012 |
Country/Territory | United States |
City | Lake Buena Vista |
Period | 30/09/12 → 3/10/12 |