| dc.contributor.author | Delponte, Elisabetta | en_US |
| dc.contributor.author | Isgrò, Francesco | en_US |
| dc.contributor.author | Odone, Francesca | en_US |
| dc.contributor.author | Verri, Alessandro | en_US |
| dc.contributor.editor | Mike Chantler | en_US |
| dc.date.accessioned | 2016-02-11T13:30:55Z | |
| dc.date.available | 2016-02-11T13:30:55Z | |
| dc.date.issued | 2005 | en_US |
| dc.identifier.isbn | 3-905673-57-6 | en_US |
| dc.identifier.uri | http://dx.doi.org/10.2312/vvg.20051016 | en_US |
| dc.description.abstract | The paper tackles the problem of feature points matching between pair of images of the same scene. This is a key problem in computer vision. Among the many possible applications of feature matching we are motivated for helping in the initialisation of a 3D registration procedure. The method we discuss here is a version of the SVD matching proposed by Pilu, modified in order to cope with large scale variations. We detail the algorithm and present experimental evidence of the improvement in performance. The main contribution of this work is in showing that this compact and easy algorithm can be used for large-baseline matching. | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.title | SVD-Matching using SIFT Features | en_US |
| dc.description.seriesinformation | Vision, Video, and Graphics (2005) | en_US |
| dc.description.sectionheaders | Multiple Views and 3-D | en_US |
| dc.identifier.doi | 10.2312/vvg.20051016 | en_US |
| dc.identifier.pages | 125-132 | en_US |
