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首页> 外文期刊>Computer vision and image understanding >Recovering Epipolar Direction From Two Affine Views Of A Planar Object
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Recovering Epipolar Direction From Two Affine Views Of A Planar Object

机译:从平面物体的两个仿射视图恢复极线方向

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摘要

The mainstream approach to estimate epipolar geometry from two views requires matching the projections of at least four non-coplanar points in the scene, assuming a full projective camera model. Our work deviates from this in three respects: affine camera, planar scene and active contour tracking. A B-spline is fitted to a planar contour, which is tracked using a Kalman filter. The corresponding control points are used to compute the affine transformation between images. We prove that the affine epipolar direction can be computed as one of the eigenvectors of this affine transformation, provided camera motion is free of cyclorotation. A Staubli robot is used to obtain calibrated image streams, which are used as ground truth to evaluate the performance of the method, and to test its limiting conditions in practice. The fact that our method and the gold standard algorithm produce comparable results shows the potential of our proposal.
机译:假设采用完整的投影相机模型,从两个视图估算极线几何的主流方法需要匹配场景中至少四个非共面点的投影。我们的工作从三个方面偏离了这一点:仿射相机,平面场景和主动轮廓跟踪。将B样条曲线拟合到平面轮廓,然后使用卡尔曼滤波器对其进行跟踪。相应的控制点用于计算图像之间的仿射变换。我们证明仿射对极方向可以计算为该仿射变换的特征向量之一,只要相机运动没有环转即可。 Staubli机器人用于获取校准的图像流,这些图像流被用作地面真实性以评估该方法的性能并在实践中测试其限制条件。我们的方法和黄金标准算法产生可比结果的事实表明了我们的建议的潜力。

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