This paper reviews, implements and compares two corner detection algorithms for mining corner points on the generic shapes. These corner detectors detect corners by using combination of one rectangle (R) and two ellip...This paper reviews, implements and compares two corner detection algorithms for mining corner points on the generic shapes. These corner detectors detect corners by using combination of one rectangle (R) and two ellipses (EE). These algorithms have been used with different combinations: REE and EER together with different parameter settings in their descriptions. REE and EER combinations slide along the boundary of the shape and record number of boundary points in each rectangle and ellipses. REE and EER setup represent both local and global views of the image outlines and present natural corner detection methodologies to detect and mine all true corners accurately. A comparative study demonstrates the superiority of the REE and EER over some of the existing algorithms.展开更多
This paper designs and implements a corner detection algorithm for mining corner points on the generic shapes. The proposed corner detector detects corners by using combination of one rectangle and two ellipses (REE) ...This paper designs and implements a corner detection algorithm for mining corner points on the generic shapes. The proposed corner detector detects corners by using combination of one rectangle and two ellipses (REE) with different parameter settings in their descriptions. REE combination slides along the boundary of the shape and records number of boundary points in each rectangle and ellipses. REE setup represents both local and global views of the image outline. The proposed technique presents a natural corners detection methodology to detect all true corners accurately. This technique is consistent with human vision system.展开更多
提出了一种基于兴趣点方向特征的图像拼接算法IPOF(Interest Point Orientation Feature),该算法利用Harris角检测器提取出两幅图像的兴趣点并为每个兴趣点分配一个主方向,采用方向相关系数法提取出初始匹配对,根据特征点之间的关系去...提出了一种基于兴趣点方向特征的图像拼接算法IPOF(Interest Point Orientation Feature),该算法利用Harris角检测器提取出两幅图像的兴趣点并为每个兴趣点分配一个主方向,采用方向相关系数法提取出初始匹配对,根据特征点之间的关系去除伪匹配对,得到两幅图像的对应兴趣点特征对从而确定变换参数,最后使用加权平均的方法融合图像。实验表明,该算法在图像间存在任意角度的旋转及平移的情形下,能有效地实现图像的平滑镶嵌。展开更多
文摘This paper reviews, implements and compares two corner detection algorithms for mining corner points on the generic shapes. These corner detectors detect corners by using combination of one rectangle (R) and two ellipses (EE). These algorithms have been used with different combinations: REE and EER together with different parameter settings in their descriptions. REE and EER combinations slide along the boundary of the shape and record number of boundary points in each rectangle and ellipses. REE and EER setup represent both local and global views of the image outlines and present natural corner detection methodologies to detect and mine all true corners accurately. A comparative study demonstrates the superiority of the REE and EER over some of the existing algorithms.
文摘This paper designs and implements a corner detection algorithm for mining corner points on the generic shapes. The proposed corner detector detects corners by using combination of one rectangle and two ellipses (REE) with different parameter settings in their descriptions. REE combination slides along the boundary of the shape and records number of boundary points in each rectangle and ellipses. REE setup represents both local and global views of the image outline. The proposed technique presents a natural corners detection methodology to detect all true corners accurately. This technique is consistent with human vision system.
基金国家自然科学基金(the National Natural Science Foundation of China under Grant No.60572152)陕西省自然科学基金(the NaturalScience Foundation of Shaanxi Province of China under Grant No.2005F26)。
文摘提出了一种基于兴趣点方向特征的图像拼接算法IPOF(Interest Point Orientation Feature),该算法利用Harris角检测器提取出两幅图像的兴趣点并为每个兴趣点分配一个主方向,采用方向相关系数法提取出初始匹配对,根据特征点之间的关系去除伪匹配对,得到两幅图像的对应兴趣点特征对从而确定变换参数,最后使用加权平均的方法融合图像。实验表明,该算法在图像间存在任意角度的旋转及平移的情形下,能有效地实现图像的平滑镶嵌。
