Name
Abstract | ||
|---|---|---|
The problem considered in this paper is the fully asutomaticconstruction of panoramas.Fundamentally, thisproblem requires recognition, as we need to know whichparts of the panorama join up.Previous approaches haveused human input or restrictions on the image sequencefor the matching step.In this work we use object recognitiontechniques based on invariant local features to selectmatchings images, and a probabilistic model for verification.Because of this our method is insensitive to the ordering, orientation, scale and illumination of the images.It is also insensitive to 'noise' images which are not partof the panorama at all, that is, it recognises panoramas.This suggests a useful application for photographers: thesystem takes as input the images on an entire flash card orfilm, recognises images that form part of a panorama, andstitches them with no user input whatsoever. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/ICCV.2003.1238630 | ICCV |
Keywords | DocType | ISBN |
form part,human input,probabilistic model,matching step,recognises image,user input,invariant local feature,image sequencefor,entire flash card orfilm,Recognising Panoramas,previous approach | Conference | 0-7695-1950-4 |
Citations | PageRank | References |
206 | 20.14 | 12 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Brown | 1 | 2474 | 175.45 |
| D. G. Lowe | 2 | 15718 | 1413.60 |