Recognising panoramas

Matthew Brown, D G Lowe

Research output: Contribution to conferencePaper

786 Citations (Scopus)

Abstract

The problem considered in this paper is the fully automatic construction of panoramas. Fundamentally, this problem requires recognition, as we need to know which parts of the panorama join up. Previous approaches have used human input or restrictions on the image sequence for the matching step. In this work we use object recognition techniques based on invariant local features to select matching 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 part of the panorama at all, that is, it recognises panoramas. This suggests a useful application for photographers: the system takes as input the images on an entire flash card or film, recognises images that form part of a panorama, and stitches them with no user input whatsoever.
Original languageEnglish
Pages1218-1225
Number of pages8
DOIs
Publication statusPublished - Oct 2003
EventComputer Vision 2003: Ninth IEEE International Conference on - Nice, France
Duration: 13 Oct 200316 Oct 2003

Conference

ConferenceComputer Vision 2003: Ninth IEEE International Conference on
CountryFrance
CityNice
Period13/10/0316/10/03

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  • Cite this

    Brown, M., & Lowe, D. G. (2003). Recognising panoramas. 1218-1225. Paper presented at Computer Vision 2003: Ninth IEEE International Conference on, Nice, France. https://doi.org/10.1109/ICCV.2003.1238630