From left to right are the original image, motion compensation, and undefined region reconstruction.
In general, a clustering identification method includes three steps: data clustering, parameter estimation, and region reconstruction.
Clinical applications have also been described for trunk, head, neck, and perineal region reconstruction [10, 11].
For a panoramic image with a resolution of 1024 × 1024 pixels, the processes of image warping and undefined region reconstruction process take an average of 8.6 ms, which proves the proposed image warping and undefined region reconstruction is fast.
Key techniques, such as sea-skyline detection, motion compensation, and region reconstruction, are involved in this approach.
Second, the fast Hermite projection method using a small number of Hermite functions was implemented for the time-frequency region reconstruction.
Obviously, the bottleneck of clustering-based approaches is the data clustering stage because the quality of parameter estimation and region reconstruction depend on the accuracy of clustering.
Whilst the Matrilin-like genes cannot thus be included in the ParaHox syntenic region reconstruction, the Exosc9, Laminin Gamma and SF1KHL genes would only require single translocation events along the human lineage to be accommodated, to allow them to be included as potential ParaHox neighbours.
East Asia is one of the world's poorly determined regions for reconstruction of Pangea (Besse and Courtillot 1991, 2002; Yang and Besse 2001; Enkin et al. 1992; Ma et al. 1993; Gilder et al. 2008; Pei et al. 2011).
Including all 4 gene regions allowed reconstruction of sister taxon relationships with high confidence (e.g., C. stellatus/C. montagui, C. challengeri/C. dalli, C. angustitergum/C. bisinuatus, C. fissus/C. anisopoma, C. stellatus/C. fragilis all supported with 100% posterior probability), but the backbone of the tree had almost no statistical support.
