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We have developed a novel system for fully automatic
full-view panorama stitching. Unlike previous approaches, which require
a predefined ordering or user input to identify matching images, our system
uses object recognition (SIFT features) for the matching step. Next we
perform a joint optimisation (bundle adjustment) to solve for the internal
(focal length) and external (rotation) parameters of each camera. Multi-band
blending is used to create seamless panoramic images without loss of high
frequency detail. Furthermore, the system is able to recognise multiple
panoramas in an image set, whilst ignoring noise images which are not part
of a larger scene. 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.
Panorama of the LCI Lab, generated automatically
from 150 images
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