Curve-based stereo: figural continuity and curvature
Curve-based stereo: figural continuity and curvature
复制标题
基于曲线的立体：图形连续性和曲率
DOI：
10.1109/cvpr.1991.139661
复制
发表时间：
1991
期刊：
影响因子：
--
通讯作者：
O. Faugeras
中科院分区：
文献类型：
--
作者：
L. Robert;O. Faugeras
提出了一种基于边缘的三目立体视觉算法。它所处理的基元是2-D边缘的三次B样条近似。这使得人们可以方便地处理曲率，并扩展到一些非多面体的场景，以前的立体算法。为了构建匹配的基元，该算法的原理是首先在三个样条上找到一组对应点。这是由自举部分提供的。其次，该算法沿着三个支持样条传播以找到其他匹配点。这提供了一组有序的点三元组沿着这三个样条，所有的匹配约束进行验证。这一基本假设构成了一个三目假说。所有假设的集合通过从由自举过程提供的所有点三元组传播来获得。然后使用基于假设的大小的标准来选择它们之间的唯一性约束方面的兼容集。几个三维重建场景的结果显示。<<ETX>>
An edge-based trinocular stereovision algorithm is presented. The primitives it works on are cubic B-spline approximations of the 2-D edges. This allows one to deal conveniently with curvature and to extend to some nonpolyhedral scenes to previous stereo algorithms. To build a matching primitive, the principle of the algorithm is, first, to find a triplet of corresponding points on three splines. This is provided by the bootstrapping part. Second, the algorithm propagates along the three supporting splines to find other matching points. This provides a set of ordered point triplets along these three splines, for which all the matching constraints are verified. This primitive constitutes a trinocular hypothesis. The set of all hypotheses is obtained by propagating from all the point triplets provided by the bootstrapping process. A criterion based on the size of the hypotheses is then used to choose among them a compatible set with respect to the uniqueness constraint. Results of several 3-D reconstructed scenes are shown.<<ETX>>