Robust affine invariant matching with application to line features
Robust affine invariant matching with application to line features
复制标题
鲁棒仿射不变匹配与线特征的应用
DOI：
10.1109/cvpr.1993.341100
复制
发表时间：
1993
期刊：
影响因子：
--
通讯作者：
Frank C. D. Tsai
中科院分区：
文献类型：
--
作者：
Frank C. D. Tsai
讨论了几何散列中的线特征。线被用作原始特征来计算几何不变量，将Hough变换与几何散列的变化相结合作为严重退化的单强度图像中基于模型的对象识别的技术。分析确定的情况下，图像下形成的仿射观看变换的不确定性的线特征上的计算不变量的影响。该系统实现了实验上的多边形物体，这是由线建模。结果表明，该技术是抗噪声的，适用于包含许多闭塞的环境。<<ETX>>
Line features in geometric hashing are discussed. Lines are used as the primitive features to compute the geometric invariants, combining the Hough transform with a variation of geometric hashing as a technique for model-based object recognition in seriously degraded single intensity images. The effect of uncertainty of line features on the computed invariants for the case where images are formed under affine viewing transformations is analytically determined. The system is implemented with experiments on polygonal objects, which are modeled by lines. It is shown that the technique is noise resistant and suitable in an environment containing many occlusions.<<ETX>>