Stereo Image Matching for Vehicle-Borne Mobile Mapping System Based on Digital Parallax Model

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="326865.fig.005a" src="https://static.hindawi.com/articles/ijvt/volume-2011/326865/figures/326865.fig.005a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>The window for computing SIFT feature</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="326865.fig.005b" src="https://static.hindawi.com/articles/ijvt/volume-2011/326865/figures/326865.fig.005b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>The sketch of SIFT feature vector</td></tr></table></td></tr></table>

<table>SIFT feature vector generated by gradient information of pixel’s neighbourhood.</table>

International Journal of Vehicular Technology

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Figure 5

Figure 5: Stereo Image Matching for Vehicle-Borne Mobile Mapping System Based on Digital Parallax Model 