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Table 3: Precision on images Tribunal (Figure 15) using the epipolar geometry.
Table 1: Errors on the synthesized pixels using epipolar geometry on simulated data
Table 2: Errors on the synthesized pixels using epipolar geometry on real images
Table 1. Robust estimation of the epipolar geometry from a set of matches containing outliers using RANSAC (a61 OK indicates the probability that the epipolar geometry has been correctly estimated).
"... In PAGE 4: ...a41a48a44 Our system incorporates the RANSAC (RANdom SAmpling Consesus)a96 approach used by Torr et al.a41a43a96 Table1 sketches this technique. Once the epipolar geometry has been retrieved, one can start looking for more matches to re ne this geometry.... In PAGE 5: ...his is illustrated in Fig. 3. The rst steps consists of nding the epipolar geometry as described in Section 3.1. Then the matches which correspond to already reconstructed points are used to compute the projection matrix a106 a100 . This is done using a robust procedure similar to the one laid out in Table1 . In this case a minimal sample of 6 matches is needed to compute a106 a100 .... ..."
Table 1. Robust estimation of the epipolar geometry from a set of matches containing outliers using RANSAC (a61 OK indicates the probability that the epipolar geometry has been correctly estimated).
"... In PAGE 4: ...a41a48a44 Our system incorporates the RANSAC (RANdom SAmpling Consesus)a95 approach used by Torr et al.a41a43a95 Table1 sketches this technique. Once the epipolar geometry has been retrieved, one can start looking for more matches to refine this geometry.... In PAGE 5: ...his is illustrated in Fig. 3. The first steps consists of finding the epipolar geometry as described in Section 3.1. Then the matches which correspond to already reconstructed points are used to compute the projection matrix a104 a99 . This is done using a robust procedure similar to the one laid out in Table1 . In this case a minimal sample of 6 matches is needed to compute a104 a99 .... ..."
Table 1. Robust estimation of the epipolar geometry from a set of matches con- taining outliers using RANSAC (POK indicates the probability that the epipolar geometry has been correctly estimated).
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"... In PAGE 6: ...Table1... In PAGE 7: ...ion 3.1. Then the matches which correspond to already reconstructed points are used to compute the projection matrix Pk. This is done using a robust pro- cedure similar to the one laid out in Table1 . In this case a minimal sample of 6 matches is needed to compute Pk.... ..."
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TABLE I THE FIVE EPIPOLAR GEOMETRY ESTIMATION ALGORITHMS IMPLEMENTED IN EGT (WITH BIBLIOGRAPHY).
Table 6: For each model the number of inliers/PLUNDER-DL score (ni/PL) is given. The model selected is underlined. corr refers to the minimum number of correspondences needed to instantiate a model.
"... In PAGE 34: ... The bene t of this algorithm is that it will (once the plane is detected) allow a sampling of points on and o the plane to estimate epipolar geometry, even if there are only a few o the plane. 9 Results Table6 summarises the sizes of various degenerate sets and PLUNDER-DL scores found for the gures 3 and 5|9 using the algorithm outlined in Section 7. Scores are given for F, FA, FT, H, Q and A.... ..."
Table 6: For each model the number of inliers/PLUNDER-DL score (ni/PL) is given. The model selected is underlined. corr refers to the minimum number of correspondences needed to instantiate a model.
"... In PAGE 34: ... The bene t of this algorithm is that it will (once the plane is detected) allow a sampling of points on and o the plane to estimate epipolar geometry, even if there are only a few o the plane. 9 Results Table6 summarises the sizes of various degenerate sets and PLUNDER-DL scores found for the gures 3 and 5|9 using the algorithm outlined in Section 7. Scores are given for F, FA, FT, H, Q and A.... ..."
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