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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
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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