Reliable RANSAC Using a Novel Preprocessing Model

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="672509.fig.004a" src="https://static.hindawi.com/articles/cmmm/volume-2013/672509/figures/672509.fig.004a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Initial matching by SIFT</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="672509.fig.004b" src="https://static.hindawi.com/articles/cmmm/volume-2013/672509/figures/672509.fig.004b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Result of our RANSAC approach</td></tr></table></td></tr><tr class="fig-image" id="c"><td><img alt="672509.fig.004c" src="https://static.hindawi.com/articles/cmmm/volume-2013/672509/figures/672509.fig.004c.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(c) </b>Result of classical RANSAC</td></tr></table></td></tr></table>

<table>Results of the proposed method and classical RANSAC for correspondences based on SIFT.</table>

Computational and Mathematical Methods in Medicine

Reliable RANSAC Using a Novel Preprocessing Model

Figure 4