Abstract
This paper presents an approach of visual shape recognition based on exemplars of attributed keypoints. Training is performed by storing exemplars of keypoints detected in labeled training images. Recognition is made by keypoint matching and voting according to the labels for the matched keypoints. The matching is insensitive to rotations, limited scalings and small deformations. The recognition is robust to noise, background clutter and partial occlusion. Recognition is possible from few training images and improve with the number of training images.
| Original language | English |
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| Title of host publication | Image Analysis |
| Publisher | <Forlag uden navn> |
| Publication date | 2005 |
| Pages | 852-861 |
| ISBN (Print) | 978-3-540-26320-3 |
| DOIs | |
| Publication status | Published - 2005 |
| Event | 14th Scandinavian Conference in Image Analysis (SCIA) - Joensuu, Finland Duration: 29 Nov 2010 → … Conference number: 14 |
Conference
| Conference | 14th Scandinavian Conference in Image Analysis (SCIA) |
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| Number | 14 |
| Country/Territory | Finland |
| City | Joensuu |
| Period | 29/11/2010 → … |
| Series | Lecture notes in computer science |
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| Volume | 3540/2005 |
| ISSN | 0302-9743 |