Recognising panoramas

Proceedings Ninth IEEE International Conference on Computer Vision Pub Date : 2003-10-13 DOI:10.1109/ICCV.2003.1238630

Matthew A. Brown, D. Lowe

引用次数: 1032

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.

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承认全景照片

本文考虑的问题是全景图的全自动构造。从根本上说，这个问题需要识别，因为我们需要知道全景的哪些部分连接在一起。以前的方法使用人工输入或对图像序列的限制来进行匹配步骤。在这项工作中，我们使用基于不变局部特征的目标识别技术来选择匹配图像，并使用概率模型进行验证。因此，我们的方法对图像的顺序、方向、比例和照明不敏感。它对完全不属于全景的“噪声”图像也不敏感，也就是说，它可以识别全景图像。这为摄影师提供了一个有用的应用:该系统将整个闪存卡或胶卷上的图像作为输入，识别构成全景的图像，并在不需要用户输入的情况下将它们拼接起来。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings Ninth IEEE International Conference on Computer Vision

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