根据匹配和新视点图像生成的需求，特征检测方法需要特征定位的精度较高，能同时检测出角点、边缘等不同特征等。
For the need of the matching and image synthesis the method of extraction can detect the different features of corners and edges and precision of the corner location is relatively good.
在众多图像特征中，角点不仅具有最少的数据量，而且稳定性极高，这使角点检测成为特征提取的重要分支。
Among the many image features, not only do the corners have the least amount of data, but also they are quite stable, which makes corner detection as an important branch of feature extraction.
作为一种数字图像测量方法，亚像素角点检测能够在数字图像中可以发现角点的亚像素精度的位置(简称亚像素角点检测方法)。
As a digital image measurement method, the sub-pixel accurate location of a corner can be found in digital image by sub-pixel accurate corner locator.
通过对比实验，新算法明显地提高了图像角点的检测性能。
By comparison test, the new algorithm significantly improves the image corner detection performance.
通过SUSAN检测算子提取图像特征角点，利用快速RANSAC算法来实现图像的初配准。
The SUSAN detector was used to extract the feature corner from the images, and fast RANSAC algorithm was used to register the images approximately.
为提取垃圾邮件图像中文字的角点信息，提出一种新的基于图像边缘和圆形模板的角点检测算法。
Combining edge extraction methods and a circular template, this paper proposes a new method for detecting corners of text in spam images.
对边缘围线的方向曲线进行多尺度小波变换，利用变换结果的局部最大值信息检测和定位出图像角点。
Based on the multi scale wavelet transform of the orientation curves we can utilize the information of local maximum positions to detect and locate the corners. Experimental res...
对边缘围线的方向曲线进行多尺度小波变换，利用变换结果的局部最大值信息检测和定位出图像角点。
Based on the multi scale wavelet transform of the orientation curves we can utilize the information of local maximum positions to detect and locate the corners. Experimental res...
应用推荐