Technical Report Details
| Date |
2-5-2006 |
| Number |
DISI-TR-06-07 |
| Title |
3D object recognition with trains of keypoints |
| Authors |
Elisabetta Delponte, Elise Arnaud, Francesca Odone, Alessandro Verri |
| Bibtex Entry |
@TechReport{Delpon06b,
author = {E. Delponte and E. Arnaud and F. Odone and A. Verri},
t |
| E-mail |
odone@disi.unige.it |
| Link |
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| Abstract |
We present a method for 3D object modeling and
recognition which is robust to scale and illumination changes, and to viewpoint variations. The object model is derived from the
local keypoints extracted and tracked from an image sequence of the object. The recognition phase is based on an SVM classifier. To check for the presence of the object in an image we represent the image with respect to the object's
model and then classify it. We analyse in depth
all the crucial steps of the method, and report
very promising results on a dataset of 11 objects, that show how the method is also tolerant to occlusions and moderate scene clutter.
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