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The factors taken into account in the analysis are the number of the matched stereo points (i.e. number of measurements), the number of the image frames, the number of the landmarks in view and the percentage overlap between consecutive frames.
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Stereo points are acquired by the feature based matching utilizing both square correlation matching and least square matching.
Stereo matching was performed in the Level 3 image plane and the matched points in the stereo were back-projected into Level 2 image plane where the space intersection was executed based on HRSC sensor model (refer to Scholten et al. (2005) for detailed HRSC processing workflow).
Fig. 9 Number of stereo points per frame (top) and number of cumulative stereo points (bottom).
Fig. 5 Flops vs. number of stereo points (m).
Figure 13 (right) shows the 53rd stereo image with the matched feature points.
A stereo pair with matched points (right).
In the following subsections, we compare and discuss these TMOs from the stereo matching point of view.
Forth row: the matched points from two views using the customized HDR cost-volume stereo matcher.
In the fourth row, the matched points from two views using the customized HDR cost-volume stereo matcher [6] are shown.
Plug the two audio prongs into the matching stereo audio input.
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