Virtually augmenting hundreds of real pictures: An approach based on learning, retrieval, and tracking

@article{Pilet2010VirtuallyAH,
  title={Virtually augmenting hundreds of real pictures: An approach based on learning, retrieval, and tracking},
  author={Julien Pilet and Hideo Saito},
  journal={2010 IEEE Virtual Reality Conference (VR)},
  year={2010},
  pages={71-78}
}
Tracking is a major issue of virtual and augmented reality applications. Single object tracking on monocular video streams is fairly well understood. However, when it comes to multiple objects, existing methods lack scalability and can recognize only a limited number of objects. Thanks to recent progress in feature matching, state-of-the-art image retrieval techniques can deal with millions of images. However, these methods do not focus on real-time video processing and can not track retrieved… CONTINUE READING
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