Robust SIFT-Based Hierarchical Video Mosaicing for Endomicroscopy
Résumé
We present a method to perform video mosaicing for endomicroscopy with two major improvements compared to the state of the art. First, instead of using individual images directly, we start by creating sub-mosaics from short video sub-sequences using iconic registration. The sub-mosaics are then considered for registration. Second, groupwise estimation is performed between all sub-mosaics based on SIFT matching to infer globally consistent spatial transformations. Both improvements increase robustness of the reconstruction compared to a baseline mosaicing method.
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