Unsupervised 3D object recognition and reconstruction in unordered datasets

@article{Brown2005Unsupervised3O,
  title={Unsupervised 3D object recognition and reconstruction in unordered datasets},
  author={Matthew Brown and David G. Lowe},
  journal={Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM'05)},
  year={2005},
  pages={56-63}
}
This paper presents a system for fully automatic recognition and reconstruction of 3D objects in image databases. We pose the object recognition problem as one of finding consistent matches between all images, subject to the constraint that the images were taken from a perspective camera. We assume that the objects or scenes are rigid. For each image, we associate a camera matrix, which is parameterised by rotation, translation and focal length. We use invariant local features to find matches… CONTINUE READING
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