Abstract
Recognition of 3D object is a very important task in computer vision. The traditional 3D object recognition method is using the projective invariant which can be derived from a complicated space geometric model. In this paper, a new simple space geometric model was proposed, which is a combination of four points and a vector, and the relation between the 3D affine invariants and 2D affine invariants was calculated. Employing the relation the object can be recognized from single view without the attitude of object and the parameter of the camera. We apply the method to the real image.
| Original language | English |
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| Title of host publication | 1st International Symposium on Systems and Control in Aerospace and Astronautics |
| Pages | 475-477 |
| Number of pages | 3 |
| State | Published - 2006 |
| Event | 1st International Symposium on Systems and Control in Aerospace and Astronautics - Harbin, China Duration: 19 Jan 2006 → 21 Jan 2006 |
Publication series
| Name | 1st International Symposium on Systems and Control in Aerospace and Astronautics |
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| Volume | 2006 |
Conference
| Conference | 1st International Symposium on Systems and Control in Aerospace and Astronautics |
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| Country/Territory | China |
| City | Harbin |
| Period | 19/01/06 → 21/01/06 |